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An open API service indexing awesome lists of open source software.

Machine learning

Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

https://github.com/younader/dnnr

The Python package of differential nearest neighbors regression (DNNR): Raising KNN-regression to levels of gradient boosting method. Build on-top of Numpy, Scikit-Learn, and Annoy.

annoy knn machine-learning machine-learning-algorithms numpy python3 scikit-learn tabular-data

Last synced: 15 Apr 2025

https://github.com/vaibhavs10/ml-with-text

[Tutorial] Demystifying Natural Language Processing with Python

machine-learning natural-language-processing nlp python text-classification

Last synced: 20 Aug 2025

https://github.com/miscellaneousstuff/pylol

League of Legends v4.20 RL Environment (LoLRLE)

league-of-legends machine-learning reinforcement-learning

Last synced: 20 Feb 2026

https://github.com/bdusell/nondeterministic-stack-rnn

Code for the paper "The Surprising Computational Power of Nondeterministic Stack RNNs" (DuSell and Chiang, 2023)

conll2020 deep-learning iclr2022 iclr2023 language-model machine-learning neural-networks nlp pytorch rnn stack

Last synced: 12 Aug 2025

https://github.com/dunnkers/fseval

Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀

automl benchmarking benchmarking-framework benchmarks feature-rankers feature-ranking feature-selection hydra machine-learning python scikit-learn wandb

Last synced: 13 Apr 2025

https://github.com/ecrl/ecnet

QSPR-based machine learning for fuel property prediction

cetane-number computational-chemistry fuel-property-prediction machine-learning neural-network pytorch qspr

Last synced: 06 Mar 2026

https://github.com/VirtualScenery/greenscreenstream

Generate MediaStreams for Canvas & Video elements based on MediaStream and a background using pure shaders and / or machine-learning. Just using JavaScript/Typescript. Renders in browser

canvas greenscreen machine-learning mediastream mediastream-api shaders tensorflow usermedia webgl2 webrtc

Last synced: 20 Jun 2026

https://github.com/mathspp/nnfwp

Neural Networks Fundamentals with Python – implementing neural networks from scratch

deep-learning machine-learning machine-learning-tutorials neural-network neural-networks neural-networks-from-scratch python python3

Last synced: 06 Apr 2025

https://github.com/gsurma/twitter_data_parser

Python scripts that download metadata and tweets for given users.

data machine-learning parser python python2 twitter twitter-api

Last synced: 20 Jul 2025

https://github.com/ozguraslank/flexml

Easy-to-use and flexible AutoML library for Python

automl data-science machine-learning python scikit-learn

Last synced: 18 Jul 2025

https://github.com/kachayev/dataclasses-tensor

Easily serialize dataclasses to and from tensors (PyTorch, NumPy)

ai machine-learning numpy pytorch tensor

Last synced: 12 Apr 2025

https://github.com/dachosen1/common-voice

Audio Classification with machine learning

audio-processing machine-learning streaming-audio voice

Last synced: 20 Apr 2025

https://github.com/kennethleungty/data-centric-ai-competition

Codes for a Top 5% finish in the Data-Centric AI Competition organized by Andrew Ng and DeepLearning.AI

ai andrew-ng data-centric data-centric-ai data-science deep-learning machine-learning

Last synced: 09 Jul 2025

https://github.com/barisyazici/tum_masters_thesis

Master's thesis in Computer Science at Technical University of Munich. Written in latex.

deep-learning latex machine-learning thesis

Last synced: 09 Apr 2025

https://github.com/leonjessen/keras_tensorflow_on_iris

A minimal tutorial on how to build a neural network classifier based on the iris data set using Keras/TensorFlow in R/RStudio

classification datascience deep-learning ggplot iris-dataset keras machine-learning neural-network r rstudio tensorflow tensorflow-tutorials tutorial

Last synced: 13 Jun 2025

https://github.com/hemangjoshi37a/personalgoalassistant

AI-driven Personal Goal Assistant: Reinforcement learning-powered software mimics user behavior, interacts with computer inputs, and autonomously achieves goals in finance, social networking, and productivity. Open-source, Python-based RL agent.

ai automation autonomous-agents computer-vision data-preprocessing deep-learning finance goal-setting machine-learning mimic natural-language-processing open-source personal-goals productivity python reinforcement-learning social-media user-data

Last synced: 12 Aug 2025

https://github.com/mlr-org/mlr3-learndrake

Template for using mlr3 with drake

drake machine-learning mlr3 r reproducibility workflow

Last synced: 15 Mar 2025

https://github.com/anushka23g/parkinson-disease-classification

A Machine Learning Approach for the Diagnosis of Parkinson's Disease via Speech Analysis

dataset diagnosis machine-learning parkinson-disease voice

Last synced: 05 Jul 2025

https://github.com/waikato-datamining/adams-base

Base modules for ADAMS, the Advanced Data Mining and Machine Learning System.

java machine-learning maven workflow-engine

Last synced: 30 Apr 2025

https://github.com/sinanuozdemir/oreilly-bert-hands-on-nlp

This repository contains code for the O'Reilly Live Online Training for Hands on Transfer Learning with BERT

artificial-intelligence bert deep-learning machine-learning nlp transfer-learning

Last synced: 24 Apr 2025

https://github.com/google-research/active-adversarial-tests

Official implementation of the paper "Increasing Confidence in Adversarial Robustness Evaluations"

adversarial-attacks adversarial-examples machine-learning machinelearning robustness

Last synced: 24 Apr 2025

https://github.com/atomicsulfate/meshcnn-4-cadseg

Improved MeshCNN for surface type segmention on realistic CAD models.

cad cnn deep-learning machine-learning mesh pytorch segmentation

Last synced: 21 Jul 2025

https://github.com/dalmia/deep-learning-tutorials

Deep learning tutorials for classification of MNIST digits using CNNs and solutions to assignments for Udacity's deep learning course

deep-learning machine-learning tensorflow

Last synced: 02 Jul 2025

https://github.com/nanxstats/enpls

Algorithmic framework for measuring feature importance, outlier detection, model applicability evaluation, and ensemble predictive modeling with (sparse) partial least squares regressions.

chemometrics dimensionality-reduction ensemble-learning machine-learning outlier-detection partial-least-squares-regression

Last synced: 22 Apr 2025

https://github.com/rzykov/fastml4j

Fast Scala and nd4j based machine learning framework

machine-learning machine-learning-algorithms nd4j scala

Last synced: 14 Jan 2026

https://github.com/ratschlab/aestetik

AESTETIK: AutoEncoder for Spatial Transcriptomics Expression with Topology and Image Knowledge

machine-learning spatial-transcriptomics

Last synced: 13 Mar 2026

https://github.com/ethanthoma/zensor

Zig tensor library

machine-learning tensor zig zig-package

Last synced: 24 Jan 2026

https://github.com/geyang/params-proto

params_proto, a collection of decorators that makes shell argument passing declarative

cli-parsing hyper-parameter machine-learning

Last synced: 01 Feb 2026

https://github.com/alessandro-nori/crypto_nn

Proof of concept for CryptoDL made for BigSec course @ EURECOM

homomorphic-encryption machine-learning neural-network

Last synced: 05 Mar 2026

https://github.com/chembl/chembl_multitask_model

Target prediction multitask neural network, with examples running it in Python, C++, Julia and JS

cheminformatics chemistry machine-learning

Last synced: 11 Feb 2026

https://github.com/adilsaid64/reddit-project

A reddit sentiment analysis application. Allows users to search for a subreddit and get a sentiment report of the overall subreddit and posts within the subreddit. Built using streamlit.

aws machine-learning nlp reddit s3 sentiment-analysis streamlit webapp

Last synced: 28 Feb 2026

https://github.com/sanofi-public/cimpact

Causal inference library for timeseries analysis

advanced-analytics ai causal-inference impact machine-learning solutions time-series

Last synced: 01 Mar 2026

https://github.com/src-d/modelforge

Python library to share machine learning models easily and reliably.

git machine-learning model registry sharing

Last synced: 05 May 2025

https://github.com/smakosh/perceptron-neural-net-from-scratch

A single artificial neuron built from scratch to understand the maths behind neural nets !

machine-learning network neural perceptron perceptron-learning-algorithm

Last synced: 17 Oct 2025

https://github.com/mratsim/apartment-interest-prediction

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

clustering geolocalization gradient-boosting kaggle kaggle-competition lightgbm machine-learning natural-language-processing xgboost

Last synced: 06 May 2025

https://github.com/georgeoshardo/SyMBac

Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.

biology deep-learning image-processing machine-learning microscopy segmentation synthetic-biology synthetic-data synthetic-dataset-generation

Last synced: 07 May 2025

https://github.com/curiousily/reproducible-ml-with-dvc

Tutorial on experiment tracking and reproducibility for Machine Learning projects with DVC

deep-learning dvc experiment-tracking linear-regression machine-learning metrics python random-forest reproducibility scikit-learn tracking

Last synced: 07 Apr 2026

https://github.com/andriyadi/MaixPy-TrashClassifier

A simple trash/waste classifier developed using MaixPy (a MicroPython framework) to run on K210 MCU on Sipeed's Maix dev board

aiot image-classification k210 machine-learning maix maix-board maixpy micropython mobilenet sipeed

Last synced: 18 Mar 2025

https://github.com/So-Cool/you-only-write-thrice

A companion repository to the "You Only Write Thrice: Creating Documents, Computational Notebooks and Presentations From a Single Source" paper published at Rethinking ML Papers – ICLR 2021 Workshop.

iclr2021 jupyter-book machine-learning publishing

Last synced: 15 Jul 2025

https://github.com/knorth55/chainer-light-head-rcnn

[This project has moved to ChainerCV] Chainer Implementation of Light Head RCNN

chainer chainercv computer-vision deep-learning machine-learning object-detection python

Last synced: 28 Oct 2025

https://github.com/krother/generative_art

Generating Art with Python and Numpy

art machine-learning numpy python

Last synced: 09 Apr 2025

https://github.com/vidursatija/tf-hack2.0

⚡#PoweredByTF 2.0 Challenge! [ /w @inishchith ]

cv green-app hackathon javascript machine-learning python python3 tensorflow

Last synced: 02 Sep 2025

https://github.com/xhluca/covid-qa

A collection of COVID-19 question-answer pairs and transformer baselines for evaluating QA models (Official Repository)

dataset machine-learning question-answering

Last synced: 08 Apr 2025

https://github.com/mlr-org/mlr3hyperband

Successive Halving and Hyperband in the mlr3 ecosystem

automl bbotk hyperband hyperparameter-tuning machine-learning mlr3 optimization r tune tuning

Last synced: 07 Mar 2026

https://github.com/francois-rozet/papers-101

Implementation of papers in 101 lines of code.

101 deep-learning generative machine-learning papers research

Last synced: 19 Jul 2025

https://github.com/brakmic/data-science-for-losers

:chart_with_upwards_trend: Articles on Data Science, Jupyter, and Pandas

data-science jupyter machine-learning python

Last synced: 23 Apr 2025

https://github.com/rpatrik96/nl-causal-representations

This is the code for the paper Jacobian-based Causal Discovery with Nonlinear ICA, demonstrating how identifiable representations (particularly, with Nonlinear ICA) can be used to extract the causal graph from an underlying structural equation model (SEM).

causal-discovery causal-discovery-methods causal-inference causality deep-learning deep-neural-networks deeplearning ica independent-component-analysis machine-learning structural-causal-model

Last synced: 03 Jul 2025

https://github.com/ceteri/nbtransom

Machines and people collaborating together through Jupyter notebooks.

active-learning collaborative-documents human-in-the-loop jupyter-notebook machine-learning pipelines python

Last synced: 23 Apr 2025

https://github.com/drscotthawley/vibrary

Vibrary is a GUI client for a user-trainable neural network tool to help producers find audio files on their hard drives

audio cplusplus gui juce machine-learning python

Last synced: 24 Apr 2025

https://github.com/sunnynguyen-ai/fraud-detection-system

Real-time fraud detection system using ensemble ML models, featuring streaming data processing, explainable AI with SHAP, and production-ready deployment with FastAPI and Docker.

data-science docker ensemble-models fastapi feature-engineering fraud-detection machine-learning mlops production-ml python random-forest real-time-ml shap streamlit xgboost

Last synced: 04 May 2026

https://github.com/tdspora/syngen

Open-source version of the TDspora synthetic data generation algorithm.

generation machine-learning synthetic-data tabular-data

Last synced: 09 Jun 2026

https://github.com/mtpatter/mlflow-tutorial

Fully reproducible, Dockerized, step-by-step, tutorial on training and serving a simple sklearn classifier model using mlflow. Detailed blog post published on Towards Data Science.

data-science machine-learning mlflow mlflow-docker mlops tutorial

Last synced: 04 May 2025

https://github.com/thalesgroup/pythagore-mod-reco

Package to train and run modulation recognition on raw I/Q radio samples, via deep-learning models

data-augmentation deep-learning deep-neural-network machine-learning modulation-classification modulation-recognition radio

Last synced: 17 Mar 2025

https://github.com/praful932/tf-rec

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

deep-learning keras machine-learning machine-learning-algorithms matrix-factorization python python-library recommendation-system recommender-system svd svdplusplus svdpp tensorflow

Last synced: 03 Oct 2025

https://github.com/adgaudio/o-medal

O-MedAL: Online Active Deep Learning for Medical Image Analysis. This repo contains code for the paper.

active-learning deep-learning diabetic-retinopathy-detection machine-learning medical-image-analysis online-learning

Last synced: 30 Apr 2025

https://github.com/lucastheis/logistic_lda

Basic tensorflow implementation of logistic latent Dirichlet allocation

classification lda machine-learning tensorflow topic-modeling

Last synced: 03 May 2025

https://github.com/dynamicslab/multiarm-pendulum

This repository is for our paper: "The Experimental Multi-Arm Pendulum on a Cart: A Benchmark System for Chaos, Learning, and Control." It contains all the CAD files we used to build the pendulum hardware, their corresponding user's manual, and data set we collected from our hardware, which is useful for Machine Learning and AI community.

double-pendulum hardware-designs machine-learning open-source-data pendulum single-pendulum system-identification triple-pendulum

Last synced: 30 Apr 2025

https://github.com/xiaorancs/business-exit-risk-forecast

企业经营退出风险预测，二分类问题

machine-learning python xgb

Last synced: 15 Jun 2025

https://github.com/maxim5/cs224n-2020-winter

All lecture notes, slides and assignments from CS224n: Natural Language Processing with Deep Learning class by Stanford

cs224n deep-learning machine-learning nlp stanford-nlp

Last synced: 20 Jul 2025

https://github.com/SCRN-VRC/Point-Pillars-in-UnityCG

Implementation of PointPillars paper in Unity for VRChat

machine-learning point-cloud pointpillars shaders unity3d vrchat

Last synced: 20 Mar 2025

https://github.com/deepai-org/ai_integration

AI Model Integration for python

ai api machine-learning python python27 python3

Last synced: 13 Apr 2025

https://github.com/divinemonk/hackgpt

HackGPT is a collective one place resource project that reverse engineers ChatGPT to unleash it's full potential for creating smarter, more human-like experience. It's open for collaboration and contributions from developers and researchers, with a focus on legal and ethical use.

ai all-in-one artificial-intelligence bug-bounty chatgpt developers ethical-hacking hackers hackgpt machine-learning open-source prompt-engineering resources

Last synced: 13 Apr 2025

https://github.com/sno2/bertml

Use common pre-trained ML models in Deno!

bert deno machine-learning nlp rust

Last synced: 14 Apr 2025

https://github.com/jalajthanaki/cheat_sheets_of_python_libraries

This repository contains the bunch of cheat sheets of diffenrent python libraries which are used in order to develop data science application.

cheat-sheets datascience deep-learning machine-learning python

Last synced: 14 May 2025

https://github.com/sap-samples/cross-language-detection-artifacts

This repository complements our paper by offering the training dataset, the best-performing models utilized in our real-world experiment, the list of identified malicious packages, and the scripts necessary to replicate and verify our results.

machine-learning open-source sample sample-code security

Last synced: 13 Apr 2025

https://github.com/pottekkat/virtual-drums

A virtual drum set built using Open CV

computer-vision machine-learning opencv virtual-drums

Last synced: 20 Aug 2025

https://github.com/radiantearth/model_ecaas_agrifieldnet_gold

AgriFieldNet Model for Crop Detection from Satellite Imagery

earth-observation gradient-boosting machine-learning unet

Last synced: 12 Apr 2025

https://github.com/memfuse/memfuse

Official Core Services for MemFuse - the lightning-fast open-source memory layer that gives LLMs persistent, queryable memory across conversations and sessions.

ai artificial-intelligence chatbot conversation-memory llm machine-learning memory openai persistent-memory python-sdk rag vector-database

Last synced: 16 Jan 2026

Machine learning Awesome Lists
awesome-scalability 920 awesome-datascience 950 awesome-deep-learning 598 awesome-deep-learning-papers 238 awesome-production-machine-learning 549 awesome-nlp 685 Machine-Learning-Tutorials 484 Awesome-pytorch-list 707 awesome-kubernetes 48 awesome-artificial-intelligence 90 awesome-aws 687 Awesome-Diffusion-Models 2,974 awesome-project-ideas 57 awesome-ml-for-cybersecurity 164 Awesome-Embedded 306 Awesome-CoreML-Models 60 awesome-multimodal-ml 480 awesome-machine-learning-on-source-code 264 awesome-self-supervised-learning 463 useful-java-links 807 Awesome-Prompt-Engineering 459 awesome-learning-resources 499 learn-ai-engineering 114 awesome-ai-tools 435 awesome-quant 145 awesome-mlops 314 Awesome-Geospatial 1,546 awesome-ai-ml-resources 130 awesome-opensource-ai 926 awesome-robotic-tooling 939 Awesome-Quant-Machine-Learning-Trading 125 awesome-quantum-machine-learning 267 awesome-python-data-science 382 awesome-ai-residency 91 awesome-TS-anomaly-detection 55 awesome-ml-courses 40 awesome-deep-learning-music 248 awesome-robotics-libraries 232 awesome-anomaly-detection 138 Computer-Science-Resources 51 awesome-tensor-compilers 165 awesome-decision-tree-papers 423 awesome-argo 406 awesome-chatgpt 169 awesome-streamlit 101 Awesome-Rust-MachineLearning 48 awesome_time_series_in_python 69 machine-learning-with-ruby 216 awesome-ml4co 615 awesome-jax 218
Machine learning Categories
Papers 11,257 Uncategorized 8,046 Books 4,146 fl in top-tier journal 3,256 Scalability 2,960 A01_文本生成_文本对话 2,414 **Literature and Codes** 2,282 Vision 2,031 Repos 1,875 Paper List 1,811 Table of Contents 1,756 fl in top ml conference and journal 1,564 Blog Posts 1,559 Year 2022 1,438 Publications-and-Preprints 1,170 Articles & Blogs 1,159 Computational Information Geometry 1,071 Attack 1,071 Research Papers 1,047 Videos 1,008