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.
NVR with realtime local object detection for IP cameras
100-Days-Of-ML-Code中文版
🤗 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
Convert Machine Learning Code Between Frameworks
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
Flower: A Friendly Federated AI Framework
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning. Ongoing development and maintenance by t2k.
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
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.
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, ...
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.
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
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.
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.
Lingvo
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
SOTA low-bit LLM quantization (INT8/FP8/MXFP8/INT4/MXFP4/NVFP4) & sparsity; leading model compression techniques on PyTorch, TensorFlow, and ONNX Runtime
An open-source framework for machine learning and other computations on decentralized data.
A library for training and deploying machine learning models on Amazon SageMaker
An open-source Python framework for hybrid quantum-classical machine learning.
TFX is an end-to-end platform for deploying production ML pipelines
Gin provides a lightweight configuration framework for Python
A deep learning package for many-body potential energy representation and molecular dynamics
RetinaFace: Deep Face Detection Library for Python
Library for training machine learning models with privacy for training data
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Gaussian processes in TensorFlow
Automated Machine Learning on Kubernetes
TensorLy: Tensor Learning in Python.
Hyperparameter Experiments with TensorFlow and Keras
High-quality implementations of standard and SOTA methods on a variety of tasks.
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.
Neural Network Compression Framework for enhanced OpenVINO™ inference
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library
Fast & Simple Resource-Constrained Learning of Deep Network Structure
:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords
Training neural models with structured signals.
Pretrained model hub for Keras 3.
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services
Build high-performance AI models with modular building blocks
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [BETA]