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
Notebooks, code samples and reference for machine learning and generative ai on Google Cloud for the Advanced Solutions Lab (ASL) bootcamps.
Machine learning platform for Web developers
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
An open-source framework for machine learning and other computations on decentralized data.
Self-hosted realtime soundscape analyser for birds, bats and other wildlife. Multi-model local AI inference, runs 24/7 on a Raspberry Pi.
A library for training and deploying machine learning models on Amazon SageMaker
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
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.
XR Animator, AI-based Full Body Motion Capture and Extended Reality (XR) solution, powered by System Animator Online
Gaussian processes in TensorFlow
A free, open source, and privacy-focused browser extension to block “not safe for work” content built using TensorFlow.js.
High-performance automatic differentiation of LLVM and MLIR.
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.
MLeap: Deploy ML Pipelines to Production
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
Making text a first-class citizen in TensorFlow.
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.
TensorFlow plugin for the Unreal Engine.
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.
Enhance Images with Javascript and AI. Increase resolution, retouch, denoise, and more. Open Source, Browser & Node Compatible, MIT License.
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
🔥机器学习/深度学习/Python/大模型/多模态/LLM/deeplearning/Python/Algorithm interview/NLP Tutorial
A CLI for Kubeflow.
:twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.
Code for paper "Computation Offloading Optimization for UAV-assisted Mobile Edge Computing: A Deep Deterministic Policy Gradient Approach"
TensorFlow Lite Micro for Espressif Chipsets
A simple probabilistic programming language.
A zero-dependency ML framework in C with a modern Python API for full control over execution and memory.
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.
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
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
🌸这是一个有趣的前端趣味知识公园~该项目是我平时捣鼓前端相关技术的一些案例集合。【涵盖:(Tensorflow.js-姿态识别,人脸识别),(WebRTC-音视频通话,录屏,虚拟背景,信令服务器),(Threejs-太阳系,3D 动画),(图片处理-千图成像,图片压缩,画板),(隐写术-文本隐写加密,图片隐写加密)等等...】
Build high-performance AI models with modular building blocks
Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
Image augmentation for computer vision. AGPL-3.0-only or commercial licensing.
Crater is a cloud-native AI training & inference platform.
Kubernetes Operator for MPI-based applications (distributed training, HPC, etc.)
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]
👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
A custom "Hey Donut" wake word for Home Assistant — 62 KB, runs on-device, zero false accepts per hour. Includes the full training pipeline so you can teach your assistant any name. CC0.