tensorflow
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
Repositories (1176)
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
The deeplearning algorithms implemented by tensorflow
A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
Speedy Wavenet generation using dynamic programming :zap:
License Plate Detection and Recognition in Unconstrained Scenarios
Try out deep learning models online on Google Colab
A free, open source, and privacy-focused browser extension to block “not safe for work” content built using TypeScript and TensorFlow.js.
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
AI on Hadoop
Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there,...
A deep learning package for many-body potential energy representation and molecular dynamics
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
GPT2 for Multiple Languages, including pretrained models. GPT2 多语言支持, 15亿参数中文预训练模型
Labelbox is the fastest way to annotate data to build and ship computer vision applications.
🙄 Difficult algorithm, Simple code.
CakeChat: Emotional Generative Dialog System
Useful extra functionality for TensorFlow 2.x maintained by SIG-addons
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow
General code to convert a trained keras model into an inference tensorflow model
[UNMAINTAINED] Automated machine learning for analytics & production
Pre-Trained Chinese XLNet（中文XLNet预训练模型）
Hyperparameter Experiments with TensorFlow and Keras
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
MobileNet build with Tensorflow
A state-of-the-art semi-supervised method for image recognition
RetinaFace: Deep Face Detection Library for Python
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificat...
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
Deep learning gateway on Raspberry Pi and other edge devices
TensorLy: Tensor Learning in Python.
Automated Machine Learning on Kubernetes
Python AutoML for Trading Systems and Sports Betting
DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects: https://lfaidata.foundation/projects/delta/
TensorFlow implementation of Deep Reinforcement Learning papers
self-driving MarioKart with TensorFlow
Keras community contributions
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
make ASCII Art by Deep Learning
High-level Deep Learning Framework written in Kotlin and inspired by Keras
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and use...
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)
MLeap: Deploy ML Pipelines to Production
High-quality implementations of standard and SOTA methods on a variety of tasks.
Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch