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rxy1212's Projects

7days-golang icon 7days-golang

7 days golang apps from scratch (web framework Gee, distributed cache GeeCache, object relational mapping ORM framework GeeORM etc) 7天用Go动手写/从零实现系列

adversarial icon adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

allennlp_tutorial icon allennlp_tutorial

Tutorial on how to use AllenNLP for sequence modeling (including hierarchical LSTMs and CRF decoding)

apex icon apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

asrt_speechrecognition icon asrt_speechrecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

chinesenlpcorpus icon chinesenlpcorpus

中文自然语言处理数据集,平时做做实验的材料。欢迎补充提交合并。

chroma icon chroma

the AI-native open-source embedding database

convlab icon convlab

DSTC8 Track 1 Task 1 End-to-End Multi-Domain Dialog Challenge Result:

deepspeechrecognition icon deepspeechrecognition

A Chinese Deep Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型

djangox icon djangox

A web GUI suite for Django ORM data or API data management

echarts icon echarts

A powerful, interactive charting and visualization library for browser

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fairseq icon fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

ganhacks icon ganhacks

starter from "How to Train a GAN?" at NIPS2016

golden-horse icon golden-horse

Named Entity Recognition for Chinese social media (Weibo). From EMNLP 2015 paper.

gpt-2 icon gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

masr icon masr

中文语音识别,高识别率预训练模型,支持docker快速安装 Chinese Speech Recognition; Mandarin Automatic Speech Recognition;

models icon models

Models and examples built with TensorFlow

opencv icon opencv

OpenCV projects: Face Recognition, Machine Learning, Colormaps, Local Binary Patterns, Examples...

pytorch-seq2seq icon pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

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