tensorflow
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Repositories (1189)
A library for scientific machine learning and physics-informed learning
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Ma...
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
Collection of generative models in Tensorflow
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Tr...
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】
TensorFlow 最新官方文档中文版
A retargetable MLIR-based machine learning compiler and runtime toolkit.
A high performance and generic framework for distributed DNN training
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
Tensorflow prebuilt binary for Windows
Tensorflow Faster RCNN for Object Detection
中文古诗自动作诗机器人，x炸天，基于tensorflow1.10 api，正在积极维护升级中，快star，保持更新！
A best practice for tensorflow project template architecture.
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
🛠 All-in-one web-based IDE specialized for machine learning and data science.
A library for transfer learning by reusing parts of TensorFlow models.
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activi...
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Fast and flexible AutoML with learning guarantees.
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
Open source hardware and software platform to build a small scale self driving car.
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
Tensorforce: a TensorFlow library for applied reinforcement learning
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource...
[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is...
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantu...
A Repo For Document AI
Sparsity-aware deep learning inference runtime for CPUs
TensorFlow API for .NET languages
TensorFlow (Python API) implementation of Neural Style
Mask RCNN in TensorFlow
A tensorflow implementation of EAST text detector
Sandbox for training deep learning networks
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
Neural network visualization toolkit for keras
A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
Introduction to Deep Neural Networks with Keras and Tensorflow
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX