Projects in Awesome Lists tagged with supervised-learning

https://github.com/mleveryday/100-days-of-ml-code

100-Days-Of-ML-Code中文版

100-days-of-ml-code chinese-simplified deep-learning infographics jupyter-notebook keras machine-learning python supervised-learning tensorflow tutorial unsupervised-learning

Last synced: 23 Apr 2025

https://github.com/MLEveryday/100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

100-days-of-ml-code chinese-simplified deep-learning infographics jupyter-notebook keras machine-learning python supervised-learning tensorflow tutorial unsupervised-learning

Last synced: 24 Mar 2025

https://github.com/afshinea/stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

cheatsheet cs229 data-science deep-learning machine-learning ml-cheatsheet supervised-learning unsupervised-learning

Last synced: 26 Jan 2026

https://github.com/liuruoze/EasyPR

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

artificial-intelligence artificial-neural-networks chinese-characters computer-vision datasets machine-learning opencv opencv3 plate-recognition supervised-learning support-vector-machines unconstrained-situation

Last synced: 15 Mar 2025

https://github.com/liuruoze/easypr

(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design

artificial-intelligence artificial-neural-networks chinese-characters computer-vision datasets machine-learning opencv opencv3 plate-recognition supervised-learning support-vector-machines unconstrained-situation

Last synced: 14 May 2025

https://github.com/rasbt/mlxtend

A library of extension and helper modules for Python's data analysis and machine learning libraries.

association-rules data-mining data-science machine-learning python supervised-learning unsupervised-learning

Last synced: 13 May 2025

https://github.com/ZhaoJ9014/face.evoLVe

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

artificial-intelligence computer-vision convolutional-neural-network data-augmentation deep-learning face-alignment face-detection face-landmark-detection face-recognition feature-extraction fine-tuning hard-negative-mining imbalanced-learning machine-learning model-training nus pytorch supervised-learning tencent transfer-learning

Last synced: 10 May 2025

https://github.com/zhaoj9014/face.evolve

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

artificial-intelligence computer-vision convolutional-neural-network data-augmentation deep-learning face-alignment face-detection face-landmark-detection face-recognition feature-extraction fine-tuning hard-negative-mining imbalanced-learning machine-learning model-training nus pytorch supervised-learning tencent transfer-learning

Last synced: 29 Apr 2025

https://github.com/benedekrozemberczki/karateclub

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

2vec community-detection deepwalk gcn graph-clustering graph-embedding graph2vec label-propagation louvain machine-learning network-embedding network-science networkx networkx-graph node-embedding node2vec scikit sklearn supervised-learning unsupervised-learning

Last synced: 14 May 2025

https://github.com/lightning-universe/lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

ai gan image-processing machine-learning natural-language-processing pytorch supervised-learning

Last synced: 12 Dec 2025

https://github.com/Lightning-AI/lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

ai gan image-processing machine-learning natural-language-processing pytorch supervised-learning

Last synced: 10 Mar 2025

https://github.com/Lightning-Universe/lightning-bolts

Toolbox of models, callbacks, and datasets for AI/ML researchers.

ai gan image-processing machine-learning natural-language-processing pytorch supervised-learning

Last synced: 09 Apr 2025

https://github.com/google/uis-rnn

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

clustering machine-learning speaker-diarization speaker-recognition supervised-clustering supervised-learning uis-rnn

Last synced: 14 May 2025

https://github.com/csinva/imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

ai artificial-intelligence bayesian-rule-list data-science explainable-ai explainable-ml imodels interpretability machine-learning ml optimal-classification-tree python rule-learning rulefit rules scikit-learn statistics supervised-learning

Last synced: 13 May 2025

https://github.com/code-kern-ai/refinery

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

active-learning annotations artificial-intelligence data-centric-ai data-labeling data-science deep-learning human-in-the-loop labeling labeling-tool machine-learning natural-language-processing neural-search nlp python spacy supervised-learning text-annotation text-classification transformers

Last synced: 14 May 2025

https://github.com/scorpionhiccup/stockpriceprediction

Stock Price Prediction using Machine Learning Techniques

analysis concept-video forecasting lstm lstm-neural-networks machine-learning rnn stock-price-forecasting supervised-learning video

Last synced: 16 May 2025

https://github.com/Ceruleanacg/Personae

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

paper reinforcement-learning stock stock-data stock-price-prediction supervised-learning time-series-prediction trading

Last synced: 24 Mar 2025

https://github.com/minqi824/adbench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

anomaly-detection benchmark data-mining data-sicence deep-learning ensemble-learning machine-learning neural-networks outlier-detection python semi-supervised-learning supervised-learning unsupervised-learning

Last synced: 15 May 2025

https://github.com/Minqi824/ADBench

Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

anomaly-detection benchmark data-mining data-sicence deep-learning ensemble-learning machine-learning neural-networks outlier-detection python semi-supervised-learning supervised-learning unsupervised-learning

Last synced: 07 Apr 2025

https://github.com/mrsaeeddev/free-ai-resources

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

ai artificial-intelligence artificial-neural-networks data data-science data-science-learning data-science-projects deep-learning deep-neural-networks hacktoberfest hacktoberfest2020 machine-learning machine-learning-algorithms machinelearning reinforcement-learning research supervised-learning unsupervised-learning

Last synced: 08 Apr 2025

https://github.com/ikergarcia1996/Self-Driving-Car-in-Video-Games

A deep neural network that learns to drive in video games

autonomous-driving deep-learning deep-neural-network machine-learning neural-network pretrained-models python pytorch self-driving-car supervised-learning video-games videogame videogame-bot

Last synced: 17 Aug 2025

https://github.com/ikergarcia1996/self-driving-car-in-video-games

A deep neural network that learns to drive in video games

autonomous-driving deep-learning deep-neural-network machine-learning neural-network pretrained-models python pytorch self-driving-car supervised-learning video-games videogame videogame-bot

Last synced: 04 Apr 2025

https://github.com/davidsbatista/Annotated-Semantic-Relationships-Datasets

A collections of public and free annotated datasets of relationships between entities/nominals (Portuguese and English)

annotated datasets information-extraction nlp semantic-relationship-extraction supervised-learning

Last synced: 21 Nov 2025

https://github.com/achuthasubhash/Complete-Life-Cycle-of-a-Data-Science-Project

Complete-Life-Cycle-of-a-Data-Science-Project

analysis data-analysis data-science dataset deep-learning eda exploratory-data-analysis feature-engineering federated-learning machine-learning nlp-models python python-library pytorch reinforcement-learning scraper supervised-learning transfer-learning unsupervised-learning web-scraping

Last synced: 06 May 2025

https://github.com/sergio0694/neuralnetwork.net

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

ai backpropagation-algorithm classification-algorithims cnn convolutional-neural-networks csharp cuda gpu-acceleration gradient-descent machine-learning net-framework netstandard neural-network supervised-learning visual-studio

Last synced: 16 May 2025

https://github.com/Sergio0694/NeuralNetwork.NET

A TensorFlow-inspired neural network library built from scratch in C# 7.3 for .NET Standard 2.0, with GPU support through cuDNN

ai backpropagation-algorithm classification-algorithims cnn convolutional-neural-networks csharp cuda gpu-acceleration gradient-descent machine-learning net-framework netstandard neural-network supervised-learning visual-studio

Last synced: 02 Apr 2025

https://github.com/gitanat/simple-ocr-opencv

A simple python OCR engine using opencv

knn-algorithm machine-learning machine-vision machinelearning machinevision ocr opencv python-ocr supervised-learning

Last synced: 16 Dec 2025

https://github.com/vikasverma1077/manifold_mixup

Code for reproducing Manifold Mixup results (ICML 2019)

data-augumentation deep-learning deep-neural-networks icml2019 pytorch regularization supervised-learning supervised-machine-learning

Last synced: 03 Apr 2025

https://github.com/PaddlePaddle/PaddleScience

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

ai4science deep-learning machine-learning operator-learning paddlepaddle self-supervised-learning supervised-learning

Last synced: 14 Oct 2025

https://github.com/paddlepaddle/paddlescience

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

ai4science deep-learning machine-learning operator-learning paddlepaddle self-supervised-learning supervised-learning

Last synced: 14 May 2025

https://github.com/phurwicz/hover

:speedboat: Label data at scale. Fun and precision included.

annotation-tool audio-classification audio-labeling bokeh bulk-labeling data-labeling image-classification image-labeling labeling labeling-tool machine-learning supervised-learning text-classification text-labeling visualization

Last synced: 21 Feb 2026

https://github.com/liuruoze/mini-alphastar

(JAIR'2022) A mini-scale reproduction code of the AlphaStar program. Note: the original AlphaStar is the AI proposed by DeepMind to play StarCraft II. JAIR = Journal of Artificial Intelligence Research.

deep-learning deep-neural-networks deep-reinforcement-learning gaming imitation-learning mini-alphastar multi-agent-systems pytorch reinforcement-learning sc2replay self-playing-bot starcraft-ii-bot starcraft2 starcraft2-ai supervised-learning

Last synced: 07 Apr 2025

https://github.com/GT-RIPL/L2C

Learning to Cluster. A deep clustering strategy.

artificial-intelligence artificial-neural-networks clustering deep-learning deep-neural-networks loss-functions semi-supervised-learning similarity-metric supervised-learning transfer-learning unsupervised-learning

Last synced: 08 May 2025

https://github.com/gt-ripl/l2c

Learning to Cluster. A deep clustering strategy.

artificial-intelligence artificial-neural-networks clustering deep-learning deep-neural-networks loss-functions semi-supervised-learning similarity-metric supervised-learning transfer-learning unsupervised-learning

Last synced: 09 Apr 2025

https://github.com/toodef/neural-pipeline

Neural networks training pipeline based on PyTorch

deep-learning image-classification image-segmentation neural-networks object-detection pipeline pytorch supervised-learning training-pipeline

Last synced: 03 Apr 2025

https://github.com/jxareas/machine-learning-notebooks

The full collection of Jupyter Notebook labs from Andrew Ng's Machine Learning Specialization.

clustering deep-learning jupyter-notebook kmeans learn linear-regression logistic-regression machine-learning machine-learning-algorithms neural-network numpy python regression reinforcement-learning reinforcement-learning-algorithms supervised-learning tensorflow unsupervised-learning

Last synced: 16 May 2025

https://github.com/dvlab-research/parametric-contrastive-learning

Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)

class-imbalance contrastive-learning iccv2021 image-classification imagenet imbalanced-data imbalanced-learning long-tailed-recognition parametric-contrastive-learning pytorch supervised-contrastive-learning supervised-learning tpami

Last synced: 03 Jul 2025

https://github.com/jaswinder9051998/zoofs

zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.

evolutionary-algorithms feature-selection genetic-algorithm grey-wolf grey-wolf-optimizer machine-learning machine-learning-algorithms machinelearning optimization optimization-algorithms optimization-methods optimization-tools particle-swarm particle-swarm-optimization python subset-selection supervised-learning

Last synced: 21 Oct 2025

https://github.com/wjn1996/hugnlp

HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILab

code-understanding deep-learning few-shot-learning knowledge-enhancement natural-language-processing pre-trained-language-models prompt-based-learning pytorch semi-supervised-learning supervised-learning transformers

Last synced: 09 Apr 2025

https://github.com/dvlab-research/Parametric-Contrastive-Learning

Parametric Contrastive Learning (ICCV2021) & GPaCo (TPAMI 2023)

class-imbalance contrastive-learning iccv2021 image-classification imagenet imbalanced-data imbalanced-learning long-tailed-recognition parametric-contrastive-learning pytorch supervised-contrastive-learning supervised-learning tpami

Last synced: 08 May 2025

https://github.com/AdrianAntico/AutoQuant

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

automated-machine-learning automl catboost classification gpu-acceleration h2o lightgbm multiclass-classification panel-data r regression supervised-learning timeseries unsupervised-learning xgboost

Last synced: 26 Apr 2025

https://github.com/AdrianAntico/RemixAutoML

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

automated-machine-learning automl catboost classification gpu-acceleration h2o lightgbm multiclass-classification panel-data r regression supervised-learning timeseries unsupervised-learning xgboost

Last synced: 14 Mar 2025

https://github.com/koalaverse/homlr

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

data-science machine-learning r supervised-learning unsupervised-learning

Last synced: 28 Jul 2025

https://github.com/Jean-njoroge/Breast-cancer-risk-prediction

Classification of Breast Cancer diagnosis Using Support Vector Machines

breast-cancer-prediction breast-cancer-tumor breastcancer-classification classification data-analysis dataprocessing exploratory-data-analysis notebook pipelines prediction-model python supervised-learning svm

Last synced: 09 Jul 2025

https://github.com/RTIInternational/SMART

Smarter Manual Annotation for Resource-constrained collection of Training data

active-learning labeling-tool supervised-learning text-classification

Last synced: 09 May 2025

https://github.com/kevinlin311tw/Caffe-DeepBinaryCode

Supervised Semantics-preserving Deep Hashing (TPAMI18)

caffe convolutional-neural-networks deep-learning hashing image-retrieval supervised-learning

Last synced: 15 Mar 2025

https://github.com/hukenovs/coursera_ml_da_specialization

Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)

certificates convolutional-neural-networks coursera data-engineering data-mining data-science data-visualization deep-learning jupyter machine-learning machine-learning-algorithms machine-learning-coursera mipt neural-network python supervised-learning unsupervised-learning yandex

Last synced: 25 Jun 2025

https://github.com/Laurae2/Laurae

Advanced High Performance Data Science Toolbox for R by Laurae

data-science laurae machine-learning r supervised-learning xgboost

Last synced: 20 Jul 2025

https://github.com/giacbrd/ShallowLearn

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

fasttext gensim machine-learning neural-network online-learning scikit-learn shallow-learning supervised-learning text-classification text-mining word-embeddings word2vec

Last synced: 19 Jul 2025

https://github.com/giacbrd/shallowlearn

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

fasttext gensim machine-learning neural-network online-learning scikit-learn shallow-learning supervised-learning text-classification text-mining word-embeddings word2vec

Last synced: 08 Oct 2025

https://github.com/mogeng/iohmm

Input Output Hidden Markov Model (IOHMM) in Python

graphical-models hidden-markov-model linear-models machine-learning python scikit-learn semi-supervised-learning sequence-labeling sequence-to-sequence statsmodels supervised-learning time-series unsupervised-learning

Last synced: 11 Jun 2025

https://github.com/tirthajyoti/interactive_machine_learning

IPython widgets, interactive plots, interactive machine learning

analytics animation classification data-science interactive jupyter-notebook machine-learning python regression scikit-learn statistics supervised-learning

Last synced: 21 Aug 2025

https://github.com/tirthajyoti/Interactive_Machine_Learning

IPython widgets, interactive plots, interactive machine learning

analytics animation classification data-science interactive jupyter-notebook machine-learning python regression scikit-learn statistics supervised-learning

Last synced: 19 Jul 2025

https://github.com/wgcban/semicd

Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images

change-detection consistency levir-cd remote-sensing segmentation semi-supervised supervised-learning whu-cd

Last synced: 18 Aug 2025

https://github.com/wgcban/SemiCD

Revisiting Consistency Regularization for Semi-supervised Change Detection in Remote Sensing Images

change-detection consistency levir-cd remote-sensing segmentation semi-supervised supervised-learning whu-cd

Last synced: 11 May 2025

https://github.com/mlr-org/mlr3proba

Probabilistic Learning for mlr3

density-estimation machine-learning mlr3 probabilistic-regression probabilistic-supervised-learning r r-package supervised-learning survival-analysis

Last synced: 04 Apr 2025

https://github.com/rickiepark/python-machine-learning-book-3rd-edition

<머신 러닝 교과서 3판>의 코드 저장소

classification convolutional-neural-network deep-learning gan keras machine-learning neural-network notebooks recurrent-neural-networks regression reinforcement-learning scikit-learn supervised-learning tensorflow unsupervised-learning

Last synced: 07 Mar 2026

https://github.com/mfbalin/concrete-autoencoders

concrete-autoencoders feature-selection icml icml-2019 machine-learning supervised-learning unsupervised-learning

Last synced: 09 May 2025

https://github.com/felixriese/susi

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

data-science machine-learning opensource pypi-package python self-organizing-map semi-supervised-learning som sphinx-doc supervised-learning unsupervised-learning

Last synced: 21 Feb 2026

https://github.com/chayandatta/heart_disease_prediction

Heart Disease prediction using 5 algorithms

clustering data-mining dicision-tree disease-prediction heart-disease heart-disease-predictor k-nearest-neighbours logistic-regression machine-learning machine-learning-algorithms machinelearning naive-bayes python3 random-forest supervised-learning

Last synced: 05 Apr 2025

https://github.com/chen0040/keras-video-classifier

Keras implementation of video classifier

convolutional-neural-networks lstm supervised-learning timeseries video-processing

Last synced: 11 Aug 2025

https://github.com/tomtung/omikuji

An efficient implementation of Partitioned Label Trees & its variations for extreme multi-label classification

classification extreme-classification extreme-multi-label-classification machine-learning multi-label-classification rust supervised-learning

Last synced: 09 Apr 2025

https://github.com/khanhnamle1994/machine-learning

Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course

artificial-intelligence machine-learning supervised-learning unsupervised-learning

Last synced: 11 Feb 2026

https://github.com/ilia10000/LO-Shot

Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning

classification deep-learning deep-neural-networks few-shot-learning knn-classifier machine-learning one-shot-learning supervised-learning

Last synced: 08 May 2025

https://github.com/zyxue/sutton-barto-rl-exercises

📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

barto machine-learning reinforcement-learning supervised-learning sutton unsupervised-learning

Last synced: 16 Jul 2025

https://github.com/gt-ripl/robo-vln

Pytorch code for ICRA'21 paper: "Hierarchical Cross-Modal Agent for Robotics Vision-and-Language Navigation"

artificial-intelligence bert computer-vision deep-learning deep-neural-networks habitat-api habitat-sim language navigation python pytorch robotics supervised-learning transformers vision-and-language vision-and-language-navigation

Last synced: 22 Apr 2025

https://github.com/labo-lacourse/stepmix

A Python package following the scikit-learn API for model-based clustering and generalized mixture modeling (latent class/profile analysis) of continuous and categorical data. StepMix handles missing values through Full Information Maximum Likelihood (FIML) and provides multiple stepwise Expectation-Maximization (EM) estimation methods.

classification clustering expectation-maximization latent-class-analysis lca machine-learning mixture-models supervised-learning

Last synced: 19 Feb 2026

https://github.com/urbslab/streamline

Simple Transparent End-To-End Automated Machine Learning Pipeline for Supervised Learning in Tabular Binary Classification Data

automl-pipeline binary-classification data-science data-visualization feature-selection imputation machine-learning model-application statistical-analysis supervised-learning

Last synced: 12 Jul 2025

https://github.com/slalit360/data-science-ml-cheat-sheet-books-oreilly-

Data Science + ML Cheat Sheet collection by me

bokeh cheat-sheets machine-learning-algorithms matplotlib numpy pandas python scipy seaborn supervised-learning unsupervised-machine-learning

Last synced: 21 Jan 2026

https://github.com/AFAgarap/wisconsin-breast-cancer

[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

binary-classification classification linear-regression logistic-regression machine-learning machine-learning-algorithms multilayer-perceptron nearest-neighbours-classifier recurrent-neural-network scikit-learn softmax-regression supervised-learning support-vector-machine tensorflow

Last synced: 09 Jul 2025

https://github.com/reddyprasade/machine-learning-with-scikit-learn-python-3.x

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This problem can be either: classification: samples belong to two or more classes and we want to learn from already labeled data how to predict the class of unlabeled data. An example of a classification problem would be handwritten digit recognition, in which the aim is to assign each input vector to one of a finite number of discrete categories. Another way to think of classification is as a discrete (as opposed to continuous) form of supervised learning where one has a limited number of categories and for each of the n samples provided, one is to try to label them with the correct category or class. regression: if the desired output consists of one or more continuous variables, then the task is called regression. An example of a regression problem would be the prediction of the length of a salmon as a function of its age and weight. unsupervised learning, in which the training data consists of a set of input vectors x without any corresponding target values. The goal in such problems may be to discover groups of similar examples within the data, where it is called clustering, or to determine the distribution of data within the input space, known as density estimation, or to project the data from a high-dimensional space down to two or three dimensions for the purpose of visualization (Click here to go to the Scikit-Learn unsupervised learning page).

classification consists machine-learning machine-learning-algorithms prediction python python-3 regression reinforcement-learning scikit-image scikit-learn scikit-learn-api scikit-learn-python scikit-model semi-supervised-learning sklearn supervised-learning unsupervised-learning vector

Last synced: 01 Aug 2025

https://github.com/MR-HosseinzadehTaher/BenchmarkTransferLearning

Official PyTorch Implementation and Pre-trained Models for Benchmarking Transfer Learning for Medical Image Analysis

benchmarking deep-learning domain-adaptation imagenet-models inaturalist-2021 medical-imaging pytorch self-supervised-learning supervised-learning transfer-learning

Last synced: 05 Apr 2025

https://github.com/ztrimus/speech-emotion-recognition

Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.

audio-files colab-notebook convolutional-neural-networks data-science deep-learning emotion-detection emotion-recognition jupyter-notebook keras librosa lstm natural-language-processing neural-network python3 pytorch rnn speech-emotion-recognition speech-recoginition supervised-learning voice

Last synced: 14 Apr 2025

https://github.com/dragoncomputer/cerebrum

Crossmodal Supervised Learning Toolkit using High-Performance Extreme Learning Machines over the audio-visual-textual data

audio cerebrum neural-network python supervised-learning textual visual

Last synced: 04 Jul 2025

https://github.com/simonprovost/scikit-longitudinal

☂️ Scikit-longitudinal (Sklong) is an open-source Python library & Scikit-Learn API compliant, tailored to longitudinal machine learning classification tasks. It is ideal for researchers, data scientists, and analysts, as it provides specialist tools for dealing with repeated-measures data challenges

classification longitudinal longitudinal-classification longitudinal-data longitudinal-studies machine-learning repeated-measurements scikit-learn supervised-learning

Last synced: 30 Jun 2025

https://github.com/chen0040/keras-audio

keras project for audio deep learning

audio-processing classification deep-learning keras supervised-learning

Last synced: 15 Aug 2025

https://github.com/philipdarke/torchtime

Benchmark time series data sets for PyTorch

classification datasets physionet pytorch supervised-learning time-series

Last synced: 23 Apr 2025

https://github.com/ysig/learnable-typewriter

The Learnable Typewriter: A Generative Approach to Text Line Analysis

computer-vision ctc-loss deep-learning htr image-decomposition ocr paleography sprites supervised-learning unsupervised-learning

Last synced: 26 Apr 2025

https://github.com/cgnorthcutt/confidentlearning-reproduce

Official data release to reproduce Confident Learning paper results

confident-learning machine-learning noisy-labels reproducibility reproducible-research supervised-learning weak-supervision

Last synced: 29 Jul 2025

https://github.com/bfgray3/cattonum

Encode Categorical Features (unmaintained)

categorical-features cran data-science dummies encoding machine-learning r r-package rstats supervised-learning

Last synced: 22 Oct 2025

https://github.com/dalmia/wannapark

Project aimed at presenting a model to find a vacant parking spot in real time and ensure car safety using Deep Learning (Parking spot Classification and Face recognition).

android-development classification computer-vision deep-learning face-recognition machine-learning python supervised-learning

Last synced: 17 Mar 2026

https://github.com/vubacktracking/coursera-machine-learning-specialization

Contains Optional Labs and Solutions of Programming Assignment for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2023) by Prof. Andrew NG

andrew-ng andrew-ng-machine-learning coursera-specialization decision-trees gradient-descent linear-regression logistic-regression machine-learning neural-network python softmax-regression supervised-learning tensorflow unsupervised-learning xgboost

Last synced: 12 Apr 2025

https://github.com/packtworkshops/the-supervised-learning-workshop

An Interactive Approach to Understanding Supervised Learning Algorithms

classification decision-trees knn matplotlib pandas plots python regression supervised-learning

Last synced: 16 Apr 2025

https://github.com/miteshputhran/document_classification

Python code for classification of documents into different classes using machine learning

doc2vec docfileanalysis docs document-classification jupyter-notebook machine-learning naive-bayes-classifier pdf python random-forest supervised-learning text-classification textfile word2vec xgboost

Last synced: 14 Apr 2025

https://github.com/serkor1/slmetrics

A high-performance R :package: for supervised and unsupervised machine learning evaluation metrics witten in 'C++'.

armadillo armadillo-library artificial-intelligence cpp cran cran-r data-analysis data-science eigen3 machine-learning performance-metrics r r-package r-stats rcpp rcpparmadillo rcppeigen statistics supervised-learning

Last synced: 18 Feb 2026

https://github.com/laugustyniak/textlytics

Text processing library for sentiment analysis and related tasks

classification natural-language-processing nlp opinion-mining scikit-learn sentiment-analysis supervised-learning word-embeddings

Last synced: 22 Jan 2026

https://github.com/younes-charfaoui/ml-projects

Machine Learning Projects 🙍‍♂️, code and data sets for different kind of problems 🔥.

deep-learning kaggle-competition keras machine-learning matplotlib reinforcement-learning sklearn supervised-learning tensorflow unsupervised-learning

Last synced: 09 Jul 2025

https://github.com/rileynwong/spotify-analysis

Data analysis on my monthly playlists

audio-features data-analysis data-scraping lyrics machine-learning natural-language-processing nlp nlp-machine-learning sentiment-analysis spotify-analysis supervised-learning supervised-machine-learning text text-analysis

Last synced: 12 Apr 2025

https://github.com/primaryobjects/fashion

The Fashion-MNIST dataset and machine learning models.

artificial-intelligence artificial-neural-networks classification data-science dataset fashion fashion-mnist image-classification image-recognition machine-learning mnist r supervised-learning support-vector-machines svm xgboost

Last synced: 26 Mar 2025

https://github.com/mahmoudparsian/machine-learning-course

Machine Learning Course @ Santa Clara University

clustering data-algorithms kmeans-clustering linear-regression logistic-regression machine-learning pyspark pyspark-algorithms-book santa-clara-university scikit-learn spark spark-ml supervised-learning unsupervised-learning

Last synced: 23 Jun 2025

https://github.com/simonprovost/auto-sklong

☂️ Auto-Scikit-Longitudinal (Auto-Sklong) is an automated machine learning (AutoML) library designed to analyse longitudinal data (Classification tasks focussed as of today) using various search methods. Namely, Bayesian Optimisation via SMAC3, Asynchronous Successive Halving, Evolutionary Algorithms, and Random Search via GAMA

automl classification longitudinal machine-learning repeated-measurements scikit sklong supervised-learning

Last synced: 15 Oct 2025

https://github.com/pedrojrv/nucml

End-to-end python-based supervised machine learning pipeline for ML-augmented nuclear data evaluation.

docker end-to-end-machine-learning nuclear supervised-learning

Last synced: 12 May 2025

https://github.com/ailln/acl2020-paper-code-blog

🗂 ACL2020 的论文、代码和博客

acl acl-library acl2020 paper paper-list supervised-learning

Last synced: 15 Jun 2025

https://github.com/yashksaini-coder/multivariate-logistic-regression---telecom-churn

Building a logistic regression model for telecom churn prediction, utilizing 21 customer-related variables to predict whether a customer will switch to another telecom provider or not.

logistic-regression machine-learning multivariate-regression supervised-learning supervised-machine-learning

Last synced: 11 Apr 2025

https://github.com/yashksaini-coder/multi-class-prediction-of-obesity-risk

Multi-Class Obesity Risk Prediction Project | Prediction of obesity risk in individuals using various factors, which is related to cardiovascular disease.

lgbm lgbmregressor machine-learning machine-learning-algorithms pipeline prediction prediction-model supervised-learning supervised-machine-learning xgb-regressor xgboost