TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
TensorFlow 最新官方文档中文版
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
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Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题,网站已下线!!】
A high performance and generic framework for distributed DNN training
Tensorflow prebuilt binary for Windows
Tensorflow Faster RCNN for Object Detection
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
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🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.
A best practice for tensorflow project template architecture.
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
🛠 All-in-one web-based IDE specialized for machine learning and data science.
A library for transfer learning by reusing parts of TensorFlow models.
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Fast and flexible AutoML with learning guarantees.
text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activi...
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
A library for scientific machine learning and physics-informed learning
.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
Open source hardware and software platform to build a small scale self driving car.
A retargetable MLIR-based machine learning compiler and runtime toolkit.
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...
Sparsity-aware deep learning inference runtime for CPUs
TensorFlow API for .NET languages
[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...
TensorFlow (Python API) implementation of Neural Style
Mask RCNN in TensorFlow
A tensorflow implementation of EAST text detector
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Sandbox for training deep learning networks
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
[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别
A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language Processing neural networks
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
A Repo For Document AI
A Hyperparameter Tuning Library for Keras