tensorflow
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Repositories (1195)
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models...
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
😎 Finding duplicate images made easy!
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
A general-purpose encoder-decoder framework for Tensorflow
Learning to See in the Dark. CVPR 2018
Deep Reinforcement Learning for Keras.
High-performance TensorFlow library for quantitative finance.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Rust language bindings for TensorFlow
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Build Graph Nets in Tensorflow
Tools to Design or Visualize Architecture of Neural Network
Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow...
a machine learning image inpainting task that instinctively removes watermarks from image indistinguishable from the ground truth image
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
The "Python Machine Learning (3rd edition)" book code repository
Danfo.js is an open source, JavaScript library providing high performance, intuitive, and easy to use data structures for manipulating and processing...
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Machine Learning and Agentic AI Resources, Practice and Research
Run Keras models in the browser, with GPU support using WebGL
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
An Engine-Agnostic Deep Learning Framework in Java
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Handwriting Synthesis with RNNs ✏️
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
A collection of infrastructure and tools for research in neural network interpretability.
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguishe...
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVIN...
A Tensorflow implementation of AnimeGAN for fast photo animation ! This is the Open source of the paper 「AnimeGAN: a novel lightweight GAN for photo...
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
Tengine is a lite, high performance, modular inference engine for embedded device
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
TensorFlow Basic Tutorial Labs
A library for scientific machine learning and physics-informed learning
Probabilistic reasoning and statistical analysis in TensorFlow
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Tr...
CNN-RNN中文文本分类，基于TensorFlow
中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
Fast, distributed, secure AI for Big Data
Code examples in pyTorch and Tensorflow for CS230
PipelineAI
State of the Art Natural Language Processing