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OpenAI GPT2 pre-training and sequence prediction implementation in Tensorflow 2.0
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
中文人名语料库。人名生成器。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。可用于中文分词、人名实体识别。
A List of Data Science/Machine Learning Resources (Mostly Free)
Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Sarasra / models
Forked from tensorflow/modelsModels and examples built with TensorFlow
Single Shot MultiBox Detector in TensorFlow
How to detect objects by using SSD models in tensorflow
Can CNNs transliterate Pinyin into Chinese characters correctly?
Summaries and notes on Deep Learning research papers
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
Awesome Chatbot Projects,Corpus,Papers,Tutorials.Chinese Chatbot =>:
A curated list of awesome Machine Learning frameworks, libraries and software.
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A step by step guide on how to use tensorflow serving to serve a tensorflow model.
A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.
General code to convert a trained keras model into an inference tensorflow model
A photo OCR project aims to output DMS messages contained in sign structure images.
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
Keras code and weights files for popular deep learning models.
A client-server network socket based user interface for Go game, dedicated for two players . 围棋游戏网络双人版。
Manipulate audio with a simple and easy high level interface
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error = 0.34%.
Congratulation to DeepMind! This is a reengineering implementation (on behalf of many other git repo in /support/) of DeepMind's Oct19th publication: [Mastering the Game of Go without Human Knowled…