deep-learning GitHub repositories

flwrlabs/flower

Flower: A Friendly Federated AI Framework

★ 7.2K+3 todayPython

PaddlePaddle/Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

★ 24.1K+3 todayC++

machine-learning python

invergent-ai/surogate

Train and serve LLMs at extreme speed and massive throughput.

★ 859+3 todayC++

TokenRhythm/opensquilla

OpenSquilla — Token-Efficient AI Agent with same budget, higher intelligence density

★ 7.1K+3 todayPython

llm ai

alirezadir/AIMLInterviews

A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more

★ 9.9K+2 todayJupyter Notebook

explosion/spaCy

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

★ 34.0K+2 todayPython

sou350121/VLA-Handbook

本项目旨在为致力于进入VLA(Vision-Language-Action)领域的算法工程师提供一份全中文、实战导向的学习/面试手册。不同于通用的 CV/NLP 面试指南，本项目聚焦于 Robotics 特有的挑战

★ 740+2 todayHTML

triton-inference-server/server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

★ 11.1K+2 todayPython

onnx/onnx

Open standard for machine learning interoperability

★ 21.6K+2 todayPython

shap/shap

A game theoretic approach to explain the output of any machine learning model.

★ 25.8K+2 todayJupyter Notebook

kuberay-project/kuberay

A toolkit to run Ray applications on Kubernetes

★ 2.8K+2 todayGo

bentoml/BentoML

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

★ 8.9K+2 todayPython

llm machine-learning

Bilingual (中文+EN) ML / LLM / diffusion / agent interview cheat sheets for AI 秋招 — generated by ARIS /interview-cheatsheet, rendered by /render-html into single-file HTML, reads anywhere — plus a CV→DBLP-fact-checked academic homepage generator and hand-authored long-form blogs 🌱

PrunaAI/pruna

Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.

★ 1.3K+2 todayPython

llm ai

MolecularAI/REINVENT4

AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.

★ 886+2 todayPython

ai deep-learning

unit8co/darts

A python library for user-friendly forecasting and anomaly detection on time series.

★ 9.6K+2 todayPython

kornia/kornia-rs

🦀 Low-level 3D Computer Vision library in Rust

★ 745+2 todayRust

machine-learning python

autodistill/autodistill

Images to inference with no labeling (use foundation models to train supervised models).

★ 2.8K+2 todayPython

sdv-dev/SDV

Synthetic data generation for tabular data

★ 3.6K+2 todayPython

InterDigitalInc/CompressAI

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

★ 1.7K+2 todayPython

john-rocky/CoreML-Models

Core ML model zoo for iOS/macOS — PyTorch models converted to ready-to-use .mlpackage, each with a conversion script and SwiftUI sample app. Sibling repos cover Apple's Core AI framework (iOS/macOS 27) and on-device LLMs.

★ 1.9K+2 todaySwift

google/deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

★ 3.8K+2 todayPython

shanmukh05/Machine-Learning-Roadmap

A roadmap for getting started with Machine Learning

★ 531+2 todayUnknown

Unstructured-IO/unstructured

Convert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.

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.

★ 19.8K+1 todayC#

EthicalML/awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

NVIDIA/physicsnemo

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

★ 3.4K+1 todayPython

keras-team/keras

Deep Learning for humans

★ 64.4K+1 todayPython

spmallick/learnopencv

Learn OpenCV : C++ and Python Examples

★ 23.2K+1 todayJupyter Notebook

obss/sahi

Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

uxlfoundation/oneDNN

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.

★ 4.1K+1 todayC++

ludwig-ai/ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

recommenders-team/recommenders

Best Practices on Recommendation Systems

★ 22.0K+1 todayPython

ModelTC/LightLLM

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

★ 4.3K+1 todayPython

fangwei123456/spikingjelly

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

★ 2.2K+1 todayPython

satellite-image-deep-learning/techniques

Techniques for deep learning with satellite & aerial imagery

★ 10.3K+1 todayUnknown

machine-learning python

albumentations-team/AlbumentationsX

Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.

autogluon/autogluon

Fast and Accurate ML in 3 Lines of Code

lazyprogrammer/machine_learning_examples

A collection of machine learning examples and tutorials.

★ 8.9K+1 todayPython

hemansnation/AI-Engineer-Headquarters

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

★ 3.8K+1 todayJupyter Notebook

llm ai

aws/amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

★ 11.0K+1 todayJupyter Notebook

cporter202/ai-agent-tools

A curated collection of AI tools, utilities, and resources for developers and creators

★ 517+1 todayUnknown

openvinotoolkit/openvino_notebooks

📚 Jupyter notebook tutorials for OpenVINO™

★ 3.2K+1 todayJupyter Notebook

h2oai/h2o-3

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

skforecast/skforecast

Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models

rushter/MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

★ 11.2K+1 todayPython

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.

★ 2.3K+1 todayPython