FinRL®: Financial Reinforcement Learning. 🔥
An Open Source Machine Learning Framework for Everyone
Models and examples built with TensorFlow
Deep Learning for humans
We write your reusable computer vision tools. 💜
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
AI-Powered Photos App 🌈💎✨
NVR with realtime local object detection for IP cameras
Visualizer for neural network, deep learning and machine learning models
ncnn is a high-performance neural network inference framework optimized for the mobile platform
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
100-Days-Of-ML-Code中文版
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Open standard for machine learning interoperability
The free and privacy-friendly screen recorder with no limits 🎥
The Cloud Native AI Platform
Learn ML engineering for free in 4 months! Register here 👇🏼
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
Convert Machine Learning Code Between Frameworks
Open3D: A Modern Library for 3D Data Processing
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Tool for real-time visualization, monitoring and collaborative analysis of AI/ML experiments and live data. Supports Python, PyTorch/Torch, NumPy, TensorFlow/Keras https://visdom.dev
TensorFlow-based neural network library
Containers for machine learning
TensorFlow examples
TensorFlow's Visualization Toolkit
Flower: A Friendly Federated AI Framework
Examples built with TensorFlow.js
Stock AI Trader: 1-stop platform for learning, sim & live trading. Covers: stock basics, strategies, LLMs, factor mining, ML/DL/RL, graph nets, HFT, C++ deploy & JoinQuant code. 股票AI操盘手:一站式学习、模拟、实盘平台。涵盖:股票基础、策略、大模型、因子挖掘、机器学习/深度学习/强化学习、图网络、高频交易、C++部署及聚宽代码。
A course in reinforcement learning in the wild
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning. Ongoing development and maintenance by t2k.
A flexible, high-performance serving system for machine learning models
TensorFlow documentation
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
An Engine-Agnostic Deep Learning Framework in Java
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Probabilistic reasoning and statistical analysis in TensorFlow
Pre-trained Deep Learning models and demos (high quality and extremely fast)
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
State of the Art Natural Language Processing
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.
A retargetable MLIR-based machine learning compiler and runtime toolkit.
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
AI Infra / AI Orchestration / AI Control Plane
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
Open source hardware and software platform to build a small scale self driving car.
LiteRT, successor to TensorFlow Lite. is Google's On-device framework for high-performance ML & GenAI deployment on edge platforms, via efficient conversion, runtime, and optimization
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.
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱
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