HIPS / autograd
Efficiently computes derivatives of NumPy code.
HIPS / autograd
flwrlabs / flower
Flower: A Friendly Federated AI Framework
mindee / doctr
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning. Ongoing development and maintenance by t2k.
lucidrains / x-transformers
A concise but complete full-attention transformer with a set of promising experimental features from various papers
facebookresearch / mmf
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
zenml-io / zenml
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
NVIDIAGameWorks / kaolin
A PyTorch Library for Accelerating 3D Deep Learning Research
andrewekhalel / MLQuestions
Machine Learning and Computer Vision Engineer - Technical Interview Questions
huggingface / autotrain-advanced
🤗 AutoTrain Advanced
kyegomez / tree-of-thoughts
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
openvinotoolkit / open_model_zoo
Pre-trained Deep Learning models and demos (high quality and extremely fast)
opengeos / segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
lucidrains / vector-quantize-pytorch
Vector (and Scalar) Quantization, in Pytorch
TarrySingh / Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.
google-research / scenic
Scenic: A Jax Library for Computer Vision Research and Beyond
google / deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
fnnx-ai / scikit-llm
Seamlessly integrate LLMs into scikit-learn.
PennyLaneAI / pennylane
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.
opengeos / geoai
GeoAI: Artificial Intelligence for Geospatial Data
superlinked / sie
Open-source inference server and production cluster for all the models your agent needs.
google-deepmind / dm-haiku
JAX-based neural network library
Jittor / jittor
Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.
leptonai / leptonai
A Pythonic framework to simplify AI service building
autodistill / autodistill
Images to inference with no labeling (use foundation models to train supervised models).
torch-points3d / torch-points3d
Pytorch framework for doing deep learning on point clouds.
stochasticai / xTuring
Build, personalize and control your own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6
asteroid-team / asteroid
The PyTorch-based audio source separation toolkit for researchers
TorchIO-project / torchio
Medical imaging processing for AI applications.
hitsz-ids / synthetic-data-generator
SDG is a specialized framework designed to generate high-quality structured tabular data.
ailia-ai / ailia-models
The collection of pre-trained, state-of-the-art AI models for ailia SDK
frgfm / torch-cam
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM, Finer-CAM, LeGrad, RefineCAM)
neonwatty / machine-learning-refined
Master the fundamentals of machine learning, deep learning, and mathematical optimization by building key concepts and models from scratch using Python.
galilai-group / stable-worldmodel
A platform for reproducible world model research and evaluation
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.
deepmodeling / deepmd-kit
A deep learning package for many-body potential energy representation and molecular dynamics
pykeen / pykeen
🤖 A Python library for learning and evaluating knowledge graph embeddings
leofan90 / Awesome-World-Models
A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related websites.
youngfish42 / Awesome-FL
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
meta-pytorch / opacus
Training PyTorch models with differential privacy
kyegomez / BitNet
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
GPflow / GPflow
Gaussian processes in TensorFlow
rentruewang / aioway
AI on the way. An auto deep learning pipe dream. An RDBMS approach to deep learning. Declarative, explainable, scalable, optimizable, easy to deploy, all that good stuff.
ScottfreeLLC / AlphaPy
Python AutoML for Trading Systems and Sports Betting
bespokelabsai / curator
Synthetic data curation for post-training and structured data extraction
meta-pytorch / tnt
A lightweight library for PyTorch training tools and utilities
lightly-ai / lightly-train
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
scverse / scvi-tools
Deep probabilistic analysis of single-cell and spatial omics data
google / vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
sunlabuiuc / PyHealth
A Deep Learning Python Toolkit for Healthcare Applications.
InterDigitalInc / CompressAI
A PyTorch library and evaluation platform for end-to-end compression research
autonomio / talos
Hyperparameter Experiments with TensorFlow and Keras
pypose / pypose
A library for differentiable robotics on manifolds.
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.
tensorflow / gnn
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
sepandhaghighi / pycm
Multi-class confusion matrix library in Python
Vincentqyw / cv-arxiv-daily
🎓Automatically Update CV Papers Daily using Github Actions
pnnl / neuromancer
Pytorch-based framework for solving parametric constrained optimization problems, physics-informed system identification, and parametric model predictive control.