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/shifuml/guagua

An iterative computing framework for both Hadoop MapReduce and Hadoop YARN.

hadoop in-memory iterative machine-learning yarn

Last synced: 24 Aug 2025

https://github.com/nyuvis/explanation_explorer

A user interface to interpret machine learning models.

interpretability machine-learning visual-interface visualization-application

Last synced: 25 Jan 2026

https://github.com/janosh/tensorboard-reducer

Reduce multiple PyTorch TensorBoard runs to new event (or CSV) files.

averaging csv machine-learning pytorch reducer tensorboard tensorboard-pytorch tensorboard-reducer

Last synced: 05 Apr 2025

https://github.com/danielegrattarola/ginr

Code for "Generalised Implicit Neural Representations" (NeurIPS 2022).

deep-learning implicit-neural-representation machine-learning neural-fields neurips-2022 pytorch

Last synced: 27 Jul 2025

https://github.com/lambdazy/lzy

Platform for a hybrid execution of ML workflows that transparently integrates local and remote runtimes

distributed hybrid kubernetes machine-learning mlops orchestration-engine python workflow

Last synced: 15 Jun 2026

https://github.com/aronwalsh/MLforMaterials

Online resource for a practical course in machine learning for materials research at Imperial College London (MATE70026)

machine-learning materials-chemistry materials-informatics materials-science

Last synced: 11 Apr 2025

https://github.com/danielegrattarola/GNCA

Code for "Learning Graph Cellular Automata" (NeurIPS 2021).

cellular-automata graph-neural-networks machine-learning neurips-2021 tensorflow

Last synced: 02 Feb 2026

https://github.com/jantrienes/nereval

Evaluation script for named entity recognition (NER) systems based on entity-level F1 score.

evaluation-metrics machine-learning named-entity-recognition nlp

Last synced: 27 Aug 2025

https://github.com/data-centric-ai/dcbench

A benchmark of data-centric tasks from across the machine learning lifecycle.

data-science machine-learning

Last synced: 27 Mar 2025

https://github.com/cnellington/Contextualized

An SKLearn-style toolbox for estimating and analyzing models, distributions, and functions with context-specific parameters.

bioinformatics machine-learning medical-informatics statistics

Last synced: 01 May 2025

https://github.com/waiwnf/pilotguru

Gather training data for training a self-driving car with just a smartphone.

computer-vision machine-learning slam

Last synced: 04 May 2025

https://github.com/jinlow/forust

A lightweight gradient boosted decision tree package.

ai machine-learning pyo3 python rust xgboost xgboost-algorithm

Last synced: 27 Apr 2025

https://github.com/shadensmith/splatt

The Surprisingly ParalleL spArse Tensor Toolkit.

cpd machine-learning mpi openmp parallel tensor

Last synced: 06 Apr 2025

https://github.com/decargroup/pykoop

Koopman operator identification library in Python, compatible with `scikit-learn`

control dynamical-systems koopman machine-learning scikit-learn

Last synced: 05 Apr 2025

https://github.com/rodrigobressan/entity_embeddings_categorical

Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)

categorical-data embeddings entity-embedding keras machine-learning neural-networks pre-processing utility-library

Last synced: 13 Apr 2025

https://github.com/vita-group/alista

[ICLR 2019] "ALISTA: Analytic Weights Are As Good As Learned Weights in LISTA", by Jialin Liu*, Xiaohan Chen*, Zhangyang Wang and Wotao Yin.

compressive-sensing deep-learning lista machine-learning sparse-coding sparse-reconstruction

Last synced: 14 Mar 2026

https://github.com/warner-benjamin/fastxtend

Train fastai models faster (and other useful tools)

deep-learning fastai machine-learning python pytorch

Last synced: 08 Oct 2025

https://github.com/mohd-faizy/probabilistic-deep-learning-with-tensorflow

Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.

bernoulli-distribution binomial-distributions deep-probabilistic-models keras machine-learning multivariate-distributions poisson-distribution probabilistic-deep-learning probabilistic-layers probabilistic-programming tensorflow tensorflow-probability tensorflow2 tfp univariate-distributions

Last synced: 07 Oct 2025

https://github.com/kleveross/ftlib

Fault-tolerant for DL frameworks

infrastructure machine-learning

Last synced: 15 Apr 2025

https://github.com/neuromodulation/py_neuromodulation

Real-time analysis of intracranial neurophysiology recordings.

dbs deep-brain-stimulation ecog electrocorticography machine-learning python real-time

Last synced: 03 Feb 2026

https://github.com/apple/ml-mycelium

Interactive web viewer for exploring large neural networks—powers the graph visualization of Talaria

graph machine-learning neural-networks visualization

Last synced: 21 Feb 2026

https://github.com/mikeoliphant/neuralaudio

C++ library for real-time processing of audio neural network models

lstm machine-learning nam neural-amp-modeler wavenet

Last synced: 15 Oct 2025

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

The Zebrafish Activity Prediction Benchmark measures progress on the problem of predicting cellular-resolution neural activity throughout an entire vertebrate brain.

benchmark calcium-imaging forecasting light-sheet-microcopy machine-learning neuroscience time-series

Last synced: 03 Jun 2026

https://github.com/guess-js/gatsby-guess

Example site demoing using Gatsby with Guess.js

gatsby gatsby-plugin guess-js machine-learning performance

Last synced: 10 Oct 2025

https://github.com/q-optimize/c3

Toolset for control, calibration and characterization of physical systems

calibration characterization control-systems machine-learning optimal-control quantum-computing quantum-information

Last synced: 09 May 2025

https://github.com/djgagne/hagelslag

Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability diagrams.

geojson hail hrrr machine-learning mrms netcdf performance performance-diagram python reliability segmentation storms tracking verification weather zarr

Last synced: 08 May 2025

https://github.com/seonghwanseo/pharmaconet

Official Github for "PharmacoNet: deep learning-guided pharmacophore modeling for ultra-large-scale virtual screening" (Chemical Science)

deep-learning drug-discovery instance-segmentation machine-learning pharmacophore pharmacophore-modelling virtual-screening

Last synced: 12 May 2025

https://github.com/aiwithqasim/free-artificial-intelligence-resources

Welcome, to this Open Source Repository regarding FREE ARTIFICIAL INTELLIGENCE RESOURCE. Get Benefit from the free resources mention & kindly five STAR & FORK this so that it can get maximum Fame so that Everyone can take advantage.

ai article artificial-intelligence artificial-neural-networks blog data-science datascientist deep-learning freeresources hacktoberfest hecktoberfest2021 jobs machine-learning machine-learning-algorithms natural-language-processing nlp project python3 youtube

Last synced: 17 Mar 2025

https://github.com/SaintsSec/Navi

An Interface for AI built for cybersecurity professionals

ai automation chatbot chatbots hacktoberfest hacktoberfest2022 machine-learning python python3

Last synced: 04 Apr 2025

https://github.com/janosh/matbench-discovery

An evaluation framework for machine learning models simulating high-throughput materials discovery.

bayesian-optimization convex-hull high-throughput-search interatomic-potential machine-learning materials-discovery

Last synced: 15 Mar 2025

https://github.com/jay-johnson/train-ai-with-django-swagger-jwt

Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform

ai ai-security anti-nex celery celery-tasks deep-neural-networks django-rest-framework drf jwt keras machine-learning machine-learning-security network-analysis network-security openshift rest-api swagger tensorflow

Last synced: 14 Apr 2025

https://github.com/ShadenSmith/splatt

The Surprisingly ParalleL spArse Tensor Toolkit.

cpd machine-learning mpi openmp parallel tensor

Last synced: 16 May 2025

https://github.com/farrellday/miceranger

miceRanger: Fast Imputation with Random Forests in R

imputation-methods machine-learning mice missing-data missing-values r random-forests

Last synced: 07 Mar 2026

https://github.com/heal-research/pyoperon

Python bindings and scikit-learn interface for the Operon library for symbolic regression.

genetic-programming machine-learning parallel python sklearn-compatible symbolic-regression

Last synced: 01 Mar 2026

https://github.com/JohannesBuchner/spoken-command-recognition

A large, free audio sample database (10M words pronounced), a test bed for voice activity detection algorithms and for single-syllable word recognition

audio audio-classification dataset machine-learning machine-learning-dataset spoken-english

Last synced: 11 Mar 2025

https://github.com/romanlutz/responsibleai

A collection of news articles, books, and papers on Responsible AI cases. The purpose is to study these cases and learn from them to avoid repeating the failures of the past.

artificial-intelligence bias discrimination fairness hiring-algorithms machine-learning responsible-ai

Last synced: 14 Feb 2026

https://github.com/benoitc/erlang-python

Execute Python from Erlang using dirty NIFs with GIL-aware execution, rate limiting, and free-threading support

ai beam elixir embeddings erlang free-threading interoperability machine-learning nif python

Last synced: 02 Apr 2026

https://github.com/daleroberts/hdmedians

High-dimensional medians (medoid, geometric median, etc.). Fast implementations in Python.

high-dimensional-data machine-learning median python statistics

Last synced: 10 Apr 2025

https://github.com/trekhleb/micrograd-ts

🤖 A TypeScript version of karpathy/micrograd — a tiny scalar-valued autograd engine and a neural net on top of it

javascript machine-learning neural-networks neural-networks-from-scratch typescript

Last synced: 30 Apr 2025

https://github.com/machinelearningzh/audio-transcription

Transcribe any audio or video file. Edit and view your transcripts in a standalone HTML editor.

audio-transcription machine-learning whisper

Last synced: 07 May 2025

https://github.com/mhahsler/cs7320-ai

Examples for an AI course following the textbook Artificial Intelligence: A Modern Approach by Russell and Norvig.

ai educational jupyter-notebook machine-learning python

Last synced: 04 Apr 2025

https://github.com/zaratsian/spark

Apache Spark (Scala, PySpark, SparkR) Code, Tricks, and References

machine-learning nlp pyspark spark text-analysis

Last synced: 11 Apr 2025

https://github.com/upul/CarND-Vehicle-Detection

Vehicle Tracking and Detection Project Submitted for Udacity's CND using Traditional Computer Vision and Machine Learning Techniques.

computer-vision machine-learning object-tracking python-3 self-driving-car

Last synced: 19 Jul 2025

https://github.com/br0kej/bin2ml

A command line tool for extracting machine learning ready data from software binaries powered by Radare2

binary-analysis data-generation graph-neural-networks machine-learning ml4sec nlp radare2 reverse-engineering

Last synced: 22 Jan 2026

https://github.com/mayer79/missranger

Fast multivariate imputation by random forests.

imputation machine-learning missing-values r random-forest rstats

Last synced: 24 Oct 2025

https://github.com/azure/mlops-project-template

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

azure azuremachinelearning azureml deep-learning devops machine-learning microsoft mlops mlops-environment mlops-template mlops-workflow

Last synced: 20 Oct 2025

https://github.com/mayer79/missRanger

Fast multivariate imputation by random forests.

imputation machine-learning missing-values r random-forest rstats

Last synced: 26 Apr 2025

https://github.com/chrisfosterelli/physical-gradient-descent

Code for https://fosterelli.co/executing-gradient-descent-on-the-earth

gradient-descent machine-learning python visualization

Last synced: 24 Jun 2025

https://github.com/rishit-dagli/cppe-dataset

Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset

artificial-intelligence computer-vision cppe5 data dataset deep-learning machine-learning models object-detection pretrained-models pytorch tensorflow vision

Last synced: 15 Jun 2025

https://github.com/cannlytics/cannlytics

🔥 Cannlytics = cannabis + analytics. Data pipelines, user interfaces, and the best statistics in the game. Made with ❤️

cannabis cannabis-api cannabis-app cannabis-data cannabis-scripts cannabis-strains cannabis-variety cannabisapp data-mining data-science django firebase machine-learning metrc nlp python strain-data terpene-profile terpenes

Last synced: 19 Jun 2026

https://github.com/different-ai/chat-gpt-powered-nextra

Two-clicks ChatGPT-powered QA documentation

ai chatgpt documentation llm machine-learning

Last synced: 25 Apr 2025

https://github.com/martinthoma/hwrt

A toolset for handwriting recognition

handwriting-recognition machine-learning python science

Last synced: 05 Sep 2025

https://github.com/zetayue/MXMNet

Source code for "Molecular Mechanics-Driven Graph Neural Network with Multiplex Graph for Molecular Structures"

computational-biology deep-learning drug-discovery geometric-deep-learning graph-neural-networks machine-learning

Last synced: 21 Jul 2025

https://github.com/dmitryryumin/wacv-2024-papers

WACV 2024 Papers: Discover cutting-edge research from WACV 2024, the leading computer vision conference. Stay updated on the latest in computer vision and deep learning, with code included. ⭐ support visual intelligence development!

3d-computer-vision 3d-sensor adversarial-attacks autonomous-driving biometrics computer-vision datasets face-recognition generative-models gesture-recognition image-recognition image-understanding low-level machine-learning robotics video-recognition vision-transformer visualization wacv wacv2024

Last synced: 12 Apr 2025

https://mrdimosthenis.github.io/Synapses/

A group of neural-network libraries for functional and mainstream languages

clojure csharp deep-learning elixir fsharp functional-programming gleam java javascript lightweight machine-learning neural-network python scala

Last synced: 27 Mar 2025

https://github.com/zmjones/edarf

exploratory data analysis using random forests

exploratory-data-analysis machine-learning r random-forest rstats

Last synced: 26 Oct 2025

https://github.com/codingforentrepreneurs/recommender

Build a recommendation engine using Django & a Machine Learning technique called Collaborative Filtering.

celery django keras machine-learning machine-learning-orchestration mlops python recommender-system redis

Last synced: 29 Oct 2025

https://github.com/akash-rajak/real-time-human-detection-counting

A tensorflow based Faster RCNN inception v2 python model to detect and count humans in real time images, videos & camera.

computer-vision counting cv2 deep-learning detection detection-model faster-rcnn-inception-v2 human-detection machine-learning matplotlib numpy opencv os pil python python3 tensorflow time tkinter video

Last synced: 18 Oct 2025

https://github.com/auto-flow/auto-flow

AutoFlow : Automatic machine learning workflow modeling platform

automl catboost data-minig data-sicence lightgbm machine-learning workflow

Last synced: 04 Apr 2026

https://github.com/bpesquet/mlkatas

(Phased out) A series of challenges for practicing your Machine Learning and Deep Learning skills

activity assignment challenge exercise kata keras machine-learning nbgrader numpy python scikit-learn

Last synced: 24 Oct 2025

https://github.com/antonior92/ecg-age-prediction

Scripts and modules for training and testing neural network for age prediction from the ECG. Companion code to the paper "Deep neural network-estimated electrocardiographic age as a mortality predictor".

age-prediction biological-age convolutional-neural-networks deep-learning ecg ecg-records ecg-signal machine-learning neural-networks pytorch

Last synced: 15 Apr 2025

https://github.com/mrdimosthenis/Synapses

A group of neural-network libraries for functional and mainstream languages

clojure csharp deep-learning elixir fsharp functional-programming gleam java javascript lightweight machine-learning neural-network python scala

Last synced: 02 Apr 2025

https://github.com/luckyzxl2016/machine-learning-papers

Machine Learning Classic Papers(机器学习经典论文)

classics machine-learning papers study

Last synced: 20 Jul 2025

https://github.com/archsyscall/distrl-tensorflow2

🐳 Implementation of various Distributional Reinforcement Learning Algorithms using TensorFlow2.

c51 deep-learning distributional-rl dqn machine-learning qr-dqn rainbow-dqn tensorflow tensorflow2

Last synced: 01 Aug 2025

https://github.com/jinglescode/python-signal-processing

splearn: package for signal processing and machine learning with Python. Contains tutorials on understanding and applying signal processing.

machine-learning numpy python python-tutorial pytorch pytorch-tutorial scipy sequence signal-processing

Last synced: 12 Apr 2025

https://github.com/johannesbuchner/spoken-command-recognition

A large, free audio sample database (10M words pronounced), a test bed for voice activity detection algorithms and for single-syllable word recognition

audio audio-classification dataset machine-learning machine-learning-dataset spoken-english

Last synced: 15 Jul 2025

https://github.com/takuya-takeuchi/openposedotnet

OpenPose wrapper written in C++ and C# for Windows

dotnet human-pose-estimation machine-learning openpose windows

Last synced: 28 Jul 2025

https://github.com/Luca96/dlib-minified-models

A set of minified (but still accurate) models for Dlib

dlib dlib-minified-models landmark-detection machine-learning shape-predictor

Last synced: 14 Mar 2025

https://github.com/akash-rajak/Real-Time-Human-Detection-Counting

A tensorflow based Faster RCNN inception v2 python model to detect and count humans in real time images, videos & camera.

computer-vision counting cv2 deep-learning detection detection-model faster-rcnn-inception-v2 human-detection machine-learning matplotlib numpy opencv os pil python python3 tensorflow time tkinter video

Last synced: 06 Mar 2025

https://github.com/chokkan/deeplearning

ART.T458: "Machine Learning" in Tokyo Institute of Technology

deep-learning deep-neural-networks machine-learning natural-language-processing numpy pytorch

Last synced: 02 May 2026

https://github.com/lizzy-0323/oasisdb

OasisDB: A minimal and lightweight vector database

golang llm machine-learning rag vector vector-database vector-search

Last synced: 22 Apr 2026

https://github.com/deweylab/cello

CellO: Gene expression-based hierarchical cell type classification using the Cell Ontology

bioinformatics cell-biology cell-type cell-type-classification computational-biology machine-learning ontologies rna-seq single-cell-rna-seq

Last synced: 17 Jan 2026

https://romanlutz.github.io/ResponsibleAI/

A collection of news articles, books, and papers on Responsible AI cases. The purpose is to study these cases and learn from them to avoid repeating the failures of the past.

artificial-intelligence bias discrimination fairness hiring-algorithms machine-learning responsible-ai

Last synced: 17 Jan 2026