All repos — GH Trending Explorer

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

Deep Learning for humans

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

ruvnet / RuVector

RuVector provides High Performance, Real-Time decisions and agent memory , Self-Learning Ai, Vector GNN DB built in Rust.

Nixtla / neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

Unity-Technologies / ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

alphacep / vosk-api

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

satellite-image-deep-learning / techniques

Techniques for deep learning with satellite & aerial imagery

roboflow / notebooks

A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.

awslabs / gluonts

Probabilistic time series modeling in Python

sktime / pytorch-forecasting

Time series forecasting with PyTorch

OpenNMT / CTranslate2

Fast inference engine for Transformer models

google-deepmind / dm_control

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

qualcomm / aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

AIStream-Peelout / flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

WenjieDu / PyPOTS

A Python toolkit/library for reality-centric machine/deep learning & data mining on partially-observed time series, with 50+ SOTA neural network models for scientific analysis tasks (imputation, classification, clustering, forecasting, anomaly detection, cleaning) on incomplete industrial irregularly-sampled multivariate TS with NaN missing values

geomstats / geomstats

Computations and statistics on manifolds with geometric structures.

joanby / python-ml-course

Curso de Introducción a Machine Learning con Python

TheBrainLab / Awesome-Spiking-Neural-Networks

A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊以及CNS论文和代码，正在持续更新中。

explosion / spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

HarisIqbal88 / PlotNeuralNet

Latex code for making neural networks diagrams

pyg-team / pytorch_geometric

Graph Neural Network Library for PyTorch

onnx / onnx

Open standard for machine learning interoperability

ritchieng / the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

rushter / MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

google-deepmind / sonnet

TensorFlow-based neural network library

tensorflow / serving

A flexible, high-performance serving system for machine learning models

tensorflow / docs

TensorFlow documentation

NVIDIAGameWorks / kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

naganandy / graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

deepjavalibrary / djl

An Engine-Agnostic Deep Learning Framework in Java

FluxML / Flux.jl

Relax! Flux is the ML library that doesn't make you tensor

tensorflow / probability

Probabilistic reasoning and statistical analysis in TensorFlow

truera / trulens

Evaluation and Tracking for LLM Experiments and AI Agents

alibaba / GraphScope

🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

google-deepmind / dm-haiku

JAX-based neural network library

LeelaChessZero / lc0

Open source neural network chess engine with GPU acceleration and broad hardware support.

sonos / tract

Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference

chemprop / chemprop

Message Passing Neural Networks for Molecule Property Prediction

google / XNNPACK

High-efficiency floating-point neural network inference operators for mobile, server, and Web

AI-Efficiency / Awesome-Model-Quantization

A curated collection of papers, benchmarks, surveys, and tools for model quantization, covering low-bit networks, LLMs, multimodal and generative models, vector and lattice quantization, and efficient deployment.

metarank / metarank

A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations that boosts user engagement. A friendly Learn-to-Rank engine

TuringLang / Turing.jl

Bayesian inference with probabilistic programming.

ahmedfgad / GeneticAlgorithmPython

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

fangwei123456 / spikingjelly

SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

jeshraghian / snntorch

Deep and online learning with spiking neural networks in Python

SciML / SciMLBook

Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

youngfish42 / Awesome-FL

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

mil-tokyo / webdnn

The Fastest DNN Running Framework on Web Browser

kyegomez / BitNet

Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch

c2g-dev / city2graph

Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis

BindsNET / bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

elixir-nx / axon

Nx-powered Neural Networks

InterDigitalInc / CompressAI

A PyTorch library and evaluation platform for end-to-end compression research

JustGlowing / minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

google / uncertainty-baselines

High-quality implementations of standard and SOTA methods on a variety of tasks.

Xilinx / brevitas

Brevitas: neural network quantization in PyTorch

tensorflow / model-optimization

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

bgavran / Category_Theory_Machine_Learning

List of papers studying machine learning through the lens of category theory

mratsim / Arraymancer

A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends