Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
- onednn
- oneapi
- performance
- cpp
Repository Index
47,133 repositories indexed
145–168 of 272 · Most stars
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
- machine-learning
- ml
- model-validation
- data-validation
A highly efficient implementation of Gaussian Processes in PyTorch
- pytorch
- gaussian-processes
- gpu-acceleration
A python library for self-supervised learning and latent world models on images.
- deep-learning
- self-supervised-learning
- machine-learning
- computer-vision
AI Infra / AI Orchestration / AI Control Plane
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
- reinforcement-learning
- multiagent-reinforcement-learning
- self-play
- imitation-learning
Bayesian optimization in PyTorch
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Fast, flexible and easy to use probabilistic modelling in Python.
- python
- machine-learning
- probabilistic-graphical-models
- pytorch
Visual tracking library based on PyTorch.
- computer-vision
- tracking
- machine-learning
- visual-tracking
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
- pytorch
- protein-structure
- alphafold2
Accelerated deep learning R&D
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
- deep-learning
- machine-learning
- ml-platform
- ml-infrastructure
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
- pytorch
- graph-neural-networks
- temporal-networks
- temporal-graphs
Data manipulation and transformation for audio signal processing, powered by PyTorch
- audio
- python
- io
- speech
Multi-dimensional arrays (tensors) and numerical definitions for Elixir
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
TranslatedCAPTCHA recognition
- captcha-breaking
- keras-tutorials
- deep-learning
- keras
Automatic architecture search and hyperparameter optimization for PyTorch
- automl
- deep-learning
- tabular-data
- pytorch
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Reinforcement Learning in PyTorch
An open source library and framework for deep learning on satellite and aerial imagery.