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/marpogaus/bernstein_flow

A normalizing flow using Bernstein polynomials for conditional density estimation.

bernstein-polynomials machine-learning probabilistic-modeling regression tensorflow-probability tensorflow2

Last synced: 22 Apr 2025

https://github.com/bobmcdear/flaim

Flax Image Models - State-of-the-art pre-trained vision backbones for Flax.

computer-vision deep-learning flax jax machine-learning

Last synced: 01 Mar 2026

https://github.com/stanislavgrigoriev/easycntk

C# library for easy Deep Learning and Deep Reinforcement Learning. It is wrapper over C# CNTK API. Has implementation of layers (LSTM, Convolution etc.), optimizers, losses, shortcut-connections, sequential model, sequential multi-output model, agent teachers, policy gradients, actor-critic etc. Contains helpers for work with dataset (split, statistics, SMOTE etc). Allows train, evaluate and inference deep neural networks in style similar to Keras.

c-sharp cntk cognitive-toolkit deep-learning deep-learning-library deep-neural-networks machine-learning

Last synced: 02 Jul 2025

https://github.com/QuantiusBenignus/BlahST

Input text from speech in any Linux window, the lean, fast and accurate way, using whisper.cpp offline.

accessibility ai bloat-free bloatfree cli command-line command-line-tool desktop-integration gnome kiss llm machine-learning no-nonsense speech-recognition speech-to-text whisper whisper-cpp

Last synced: 11 Mar 2025

https://github.com/cassiobotaro/sentibol

:soccer: Notebook feito para analisar o case do Sentibol

machine-learning python3 sentiment-analysis

Last synced: 26 Apr 2025

https://github.com/luizgh/avc_nips_2018

Code to reproduce the attacks and defenses for the entries "JeromeR" in the NIPS 2018 Adversarial Vision Challenge

adversarial-examples machine-learning

Last synced: 10 Apr 2025

https://github.com/hdmamin/jabberwocky

An Alexa skill providing a conversational interface to any public figure (as mimicked by GPT3). The legacy GUI is no longer maintained.

alexa alexa-skill audio chatbot gpt3 machine-learning python speech-recognition

Last synced: 14 Jan 2026

https://github.com/phreakyphoenix/mxnet-gluoncv-aws-coursera

This repo includes my solutions to the Coursera course offered by AWS titled "AWS Computer Vision: Getting Started with GluonCV", in addition to more tutorials and in-depth handson labs. Please :star2: the repo if you like it :point_up: Create an Issue or preferably a PR for any improvement. :rocket:

aws colab-notebook computer-vision coursera coursera-assignment coursera-assignment-solution deep-learning fashion-mnist gluon gluoncv image-classification machine-learning mnist-handwriting-recognition mxnet mxnet-gluon mxnet-gluon-interface mxnet-imageclassification mxnet-neural-network mxnet-notebooks object-detection

Last synced: 12 Mar 2026

https://github.com/google-research/slip

SLIP is a sandbox environment for engineering protein sequences with synthetic fitness functions.

computational-biology machine-learning protein-design

Last synced: 24 Apr 2025

https://github.com/ofai/hub-toolbox-python3

Hubness analysis and removal functions

data-mining high-dimensional-data hubness machine-learning

Last synced: 11 Oct 2025

https://github.com/san089/big_data_project

Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.

classifiers ensemble-model fakenewsdetection machine-learning news-classification scikit-learn text-mining textclassification vectorization vectorizers

Last synced: 13 Mar 2026

https://github.com/davidmcneil/mnist

MNIST data set parser https://crates.io/crates/mnist

image-recognition machine-learning mnist

Last synced: 05 Mar 2026

https://github.com/mainakrepositor/selfdriver

A self learning AI car that learns about obstacles and direction control in real time training and gradually gets more accurate in avoiding collisions

artificial-intelligence deployment javascript machine-learning netlify reinforcement-learning website

Last synced: 28 Feb 2026

https://github.com/vsimkus/torch-reparametrised-mixture-distribution

PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.

data-science gradients machine-learning mixture-distributions mixture-model mixture-of-gaussians pytorch variational-inference

Last synced: 10 Oct 2025

https://github.com/cossio/restrictedboltzmannmachines.jl

Train and sample Restricted Boltzmann machines in Julia

julia machine-learning rbm

Last synced: 11 Oct 2025

https://github.com/abhaskumarsinha/minimalgpt

MinimalGPT is a concise, adaptable, and streamlined code framework that encompasses the essential components necessary for the construction, training, inference, and fine-tuning of the GPT model. This framework is implemented exclusively using Keras and TensorFlow, ensuring compatibility and coherence within the broader deep learning ecosystem.

ai artificial-intelligence fine-tuning generative-model gpt gpt-2 gpt-models keras keras-tensorflow language-model llm machine-learning neural-network nlp nlp-machine-learning tensorflow tensorflow2 training transformer transformer-architecture

Last synced: 11 Jul 2025

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

Machine learning models for MLonCode trained using the source{d} stack

machine-learning mlosc model nlp source-code

Last synced: 17 Feb 2026

https://github.com/bbva/mercury-robust

mercury-robust is a framework to perform robust testing on ML models and datasets. It provides a collection of test that are easy to configure and helpful to guarantee robustness in your ML processes.

machine-learning python robustness testing

Last synced: 21 Jun 2025

https://github.com/si-cim/prototorch

ProtoTorch is a PyTorch-based Python toolbox for bleeding-edge research in prototype-based machine learning algorithms.

interpretable-ai lvq machine-learning python pytorch

Last synced: 11 Apr 2025

https://github.com/pb2204/teachable-machine

This Is A Very Simple Live Teachable Machine Using TensorFlow.JS

ai deep-learning google machine-learning programming project teachable-machine

Last synced: 16 Jul 2025

https://github.com/tallamjr/barberbook

Solutions for David Barber's "Bayesian Reasoning and Machine Learning" Book

bayesian-methods book machine-learning

Last synced: 21 Jun 2025

https://github.com/zetavg/twlm

Taiwanese Mandarin LLM Project

llm machine-learning

Last synced: 20 Aug 2025

https://github.com/polakowo/mlprojects

Some of my ML projects and Kaggle competitions

fastai machine-learning pytorch sklearn tensorflow

Last synced: 07 May 2025

https://github.com/sanidhyy/quill

Quill is an open-source software to make chatting to your PDF files easy.

ai artifical-intelligence css html js kinde machine-learning next nextjs quill react shadcn-ui tailwindcss typescript vercel

Last synced: 13 Apr 2025

https://github.com/qanastek/drbert

DrBERT: A Robust Pre-trained Model in French for Biomedical and Clinical domains

bert biomedical french learning machine machine-learning medical ml nlp nlp-machine-learning taln text

Last synced: 16 Aug 2025

https://github.com/lucko515/dataset-dimensionality-reduction-python

Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dimensional datasets.

dimensionality-reduction kernel-pca lda machine-learning pca tsne

Last synced: 14 Apr 2025

https://github.com/c99koder/AudioClassifier-MQTT

Use the yamnet TensorFlow model to classify live audio from a microphone and publish the predicted results to Home Assistant via MQTT

audio audio-analysis home-assistant machine-learning mqtt python3 tensorflow-lite yamnet

Last synced: 07 Apr 2025

https://github.com/scikit-multilearn-ng/scikit-multilearn-ng

A new maintained "successor" to scikit-multilearn, a scikit-learn based module for multi-label et. al. classification

classification clustering label-prediction machine-learning multi-label multi-label-classification partitioning scikit scikit-learn scikit-multilearn

Last synced: 21 Aug 2025

https://github.com/pkestene/ms-hpc-ai-gpu

resources pour le cours d'introduction à la programmation des GPUs du mastère spécialisé HPC-AI

cuda deep-learning gpu gpu-computing machine-learning physics-informed-neural-networks pinn pinns

Last synced: 19 Aug 2025

https://github.com/nanowell/differential-transformer-pytorch

PyTorch implementation of the Differential-Transformer architecture for sequence modeling, specifically tailored as a decoder-only model similar to large language models (LLMs). The architecture incorporates a novel Differential Attention mechanism, Multi-Head structure, RMSNorm, and SwiGLU.

differential-transformer large-language-models machine-learning pytorch

Last synced: 31 Jul 2025

https://github.com/spidy20/rice_disease_prediction_gui

Rice Disease Prediction App using SVM Machine learning algorithm with tkinter

deep-learning machine-learning rice-diseases rise-disease-prediction sklearn sm spidy20 tkinter-gui

Last synced: 18 Aug 2025

https://github.com/negrinho/research_toolbox

Utilities to help manage a machine learning experimental workflow

machine-learning research-data-management utilities utility-library workflow-management

Last synced: 06 Sep 2025

https://github.com/qiushisun/statistical-methods-and-machine-learning

2021 Spring (Statistical Methods and Machine Learning) 统计方法与机器学习

anova ecnu-dase linear-regression machine-learning mnist-handwriting-recognition statistics

Last synced: 20 Aug 2025

https://github.com/apexrl/codail

Implementation of CoDAIL in the ICLR 2020 paper <Multi-Agent Interactions Modeling with Correlated Policies>

imitation-learning machine-learning multi-agent-reinforcement-learning

Last synced: 07 Apr 2025

https://github.com/microsoft/masc

Microsoft's contributions for Spark with Apache Accumulo

accumulo apache big-data machine-learning spark

Last synced: 02 Oct 2025

https://github.com/datacte/sdxl-training-improvements

📊 Research-focused SDXL training framework exploring novel optimization approaches. Goals include enhanced image quality, training stability & comprehensive monitoring. ⭐ Performance-focused research framework.

deep-learning diffusion machine-learning stable-diffusion stable-diffusion-xl

Last synced: 21 Aug 2025

https://github.com/guildai/guildai-r

Track machine learning experiments

deep-learning keras machine-learning

Last synced: 26 Oct 2025

https://github.com/roboflow/roboflow-api-snippets

repo for versioning snippets that show how to use Roboflow APIs

api computer-vision examples inference machine-learning roboflow

Last synced: 06 Jul 2025

https://github.com/idiap/zff_vad

Unsupervised Voice Activity Detection by Modeling Source and System Information using Zero Frequency Filtering

audio-processing machine-learning noise-robust signal-processing speech-activity-detection voice-activity-detection

Last synced: 05 Oct 2025

https://github.com/changhuixu/lstm-sentiment-analysis

LSTM sentiment analysis. Please look at my another repo for SVM and Naive algorithem

dictionary l1-lstm lstm lstm-layes machine-learning review sentiment sentiment-analysis

Last synced: 20 Aug 2025

https://github.com/slimgroup/fno4co2

Learned coupled inversion with Fourier neural operators

carbon ccs deep-learning fno inversion julia machine-learning time-lapse

Last synced: 24 Jul 2025

https://github.com/BiomedSciAI/DPM360

Repository for Disease Progression Modeling workbench 360 - An end-to-end deep learning model training framework in python on OMOP data

deep-learning healthcare machine-learning ohdsi omop python pytorch sklearn

Last synced: 09 Aug 2025

https://github.com/mayer79/effectplots

Fast Effect Plots in R

machine-learning r regression xai

Last synced: 05 May 2025

https://github.com/kyegomez/eaot

The open source implementation of "Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers"

artificial-intelligence gpt4 llama llama2 machine-learning prompt-engineering prompting

Last synced: 29 Jul 2025

https://github.com/eshikashah/skillship-internship-data-science-projects

Utilized this lockdown to do something productive. SkillShip foundation provided and internship opportunity and here's the outcome. The projects made by me in these 2 months.

classification data-science internship machine-learning regression

Last synced: 28 Jul 2025

https://github.com/robertklee/kitti-roadseg

A course project for road segmentation using a U-Net Convolutional Neural Network on the KITTI ROAD 2013 dataset

computer-vision image-segmentation kitti-dataset machine-learning neural-network road-segmentation

Last synced: 12 Sep 2025

https://github.com/vmc-7645/YOLOv8-retail

Detect retail products via the YOLOv8 object recognition engine.

ai computer-vision deep-learning machine-learning object-detection pytorch yolo yolov8

Last synced: 21 Apr 2025

https://github.com/ruisiang/face2id

Project to quickly transform face biometrics into UUIDs

biometrics face-recognition identification machine-learning nodejs

Last synced: 20 Jun 2025

https://github.com/andreacossu/relation-network-pytorch

Implementation of Relation Network and Recurrent Relational Network using PyTorch v1.3. Original papers: (RN) https://arxiv.org/abs/1706.01427 (RRN): https://arxiv.org/abs/1711.08028

machine-learning neural-reasoning python pytorch pytorch-implementation relation-network

Last synced: 14 Apr 2025

https://github.com/kentonishi/jtr-cvpr-2024

[CVPR 2024] Joint-Task Regularization for Partially Labeled Multi-Task Learning

computer-vision cvpr2024 machine-learning multitask-learning

Last synced: 23 Mar 2025

https://github.com/hummat/saliency

PyTorch implementation of 'Vanilla' Gradient, Grad-CAM, Guided backprop, Integrated Gradients and their SmoothGrad variants.

deep-learning deep-learning-algorithms deep-neural-networks grad-cam guided-backpropagation integrated-gradients machine-learning machine-learning-algorithms pytorch saliency smoothgrad xrai

Last synced: 04 Oct 2025

https://github.com/iitzco/deepzoo

:wolf: :tiger: :whale2: :elephant: :monkey: Deep Learning model Zoo

artificial-intelligence deep-learning machine-learning modelzoo python

Last synced: 05 May 2025

https://github.com/yashksaini-coder/codsoft

This was a simple virtual internship where i mainly created machine learning models to perform tasks like Classification & Prediction

codsoft codsoft-internship codsoftinternship machine-learning machine-learning-algorithms

Last synced: 11 Apr 2025

https://github.com/octalpixel/skin-extraction-from-image-and-finding-dominant-color

Project is an implementation of skin segmentation using OpenCV and dominant color extraction using SciKit-Learn

image-processing kmeans kmeans-clustering machine-learning opencv python scikit-learn

Last synced: 12 Apr 2025

https://github.com/ybubnov/torch_geopooling

The geospatial pooling modules for neural networks in PyTorch

deep-learning deep-learning-library geospatial machine-learning python pytorch

Last synced: 01 Sep 2025

https://github.com/kenethgarcia/classipygrb

This repository contains all the updates, code, and documentation related to ClassiPyGRB.

astrophysics grbs machine-learning machine-learning-algorithms unsupervised-learning unsupervised-machine-learning

Last synced: 30 Oct 2025

https://github.com/msesia/chr

Conformal Histogram Regression: efficient conformity scores for non-parametric regression problems

conformal-prediction machine-learning quantile-regression regression uncertainty-quantification

Last synced: 30 Oct 2025

https://github.com/rifkybujana/indobert-qa

indoBERT Base-Uncased fine-tuned on Translated Squad v2.0

ai bert deep-learning huggingface indobert indonesia machine-learning question-answering

Last synced: 11 Sep 2025

https://github.com/rasbt/b3-basic-batchsize-benchmark

Experiments for the blog post "No, We Don't Have to Choose Batch Sizes As Powers Of 2"

deep-learning deep-neural-networks machine-learning neural-networks

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/sno2/bertml

Use common pre-trained ML models in Deno!

bert deno machine-learning nlp rust

Last synced: 14 Apr 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/chinmayrane16/diamonds-in-depth-analysis

Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Using Scikit-Learn , implemented Algorithms to increase the effective R2 score.

data-visualization feature-engineering feature-scaling machine-learning matplotlib numpy pandas seaborn

Last synced: 18 Mar 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/wwtg99/kaggle_getting_started

Kaggle getting started competition examples

kaggle machine-learning xgboost

Last synced: 22 Aug 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/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: 31 Oct 2025

https://github.com/elata-biosciences/elata-vsm-system-4

AI-powered intelligence platform aggregating breakthroughs in neuroscience, computational psychiatry, and mental health research. Built with Next.js, ChatGPT API, and TypeScript.

artificial-intelligence biohacking brain-computer-interface chatgpt computational-psychiatry cryptocurrency dao desci llm machine-learning mental-health neuroscience nextjs open-ai open-science psychiatry puppeteer research-tools scraping typescript

Last synced: 18 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/albincorreya/ml-training-airflow-mlflow-example

An example of setting up local audio ML training pipeline on Airflow with MLFlow experiment tracking and custom python library.

airflow audio-analysis keras-tensorflow machine-learning mlfow mlops

Last synced: 30 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/snap-research/stable-flow

Official implementation for "Stable Flow: Vital Layers for Training-Free Image Editing"

deep-learning diffusion-models flow-models generative-ai image-editing machine-learning text-to-image

Last synced: 15 May 2025

https://github.com/ncordon/undergraduate-dissertation

Final career project on PAC theory and imbalanced datasets

imbalanced-learning machine-learning pac-theory

Last synced: 19 Feb 2026

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: 29 Jul 2025