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cnocr-models

pretrained models for cnocr

cnsd

中文自然语言推理数据集（A large-scale Chinese Nature language inference and Semantic similarity calculation Dataset）

coconlp

A Chinese information extraction tool.

cogqa

Source code and dataset for ACL 2019 paper "Cognitive Graph for Multi-Hop Reading Comprehension at Scale"

competition_cail

2018**‘法研杯’法律智能挑战赛（CAIL2018）个人作品

complex-network

复杂网络研究资源整理和基础知识学习

complexeventextraction

chinese compound event extraction，中文复合事件抽取，包括条件事件、因果事件、顺承事件、反转事件等事件抽取，并形成事理图谱。

computer-vision-in-action

学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

conversationalrobotdesign

对话机器人（聊天机器人）设计思考

convlab

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

corpus

自然语言处理，知识图谱相关语料。按照Task细分，欢迎PR。

corpus_process_script

chinese and english corpus process script, python, c++, java

cortex

Machine learning infrastructure for developers

cosin

🌲 春松客服: 多渠道智能客服系统

coupled-multi-layer-attentions

Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms

cps-ocr-engine

An awesome OCR engine developed by SYSU DeepDriving Lab

crnn.pytorch

crnn实现水平和垂直方向中文文字识别, 提供在3w多个中文字符训练的水平识别和垂直识别的预训练模型; 欢迎关注,试用和反馈问题... ...

cs224n-2019-solutions

Complete solutions for Stanford CS224n, winter, 2019

cs224n-learning-camp

cs224u

Code for Stanford CS224u

cs236_dgm

🦍 Stanford CS236 : Deep Generative Models

ctrmodel

CTR prediction model based on spark(LR, GBDT, DNN)

dan-jurafsky--chris-manning--natural-language-processing

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012

data-competition-topsolution

Data competition Top Solution 数据竞赛top解决方案开源整理

dataset

医学影像数据集列表

datasets

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

decomprc

An original implementation of ACL 2019, "Multi-hop Reading Comprehension through Question Decomposition and Rescoring"

deep-learning-book

Deep Learning book the covers the principles of deep learning, motivation, explanations, state of the art papers for the various tasks and architectures: CNNs, object detection, semantic segmentation, generative models, denoising, super resolution, style transfer and style manipulation, inpaintig, self supervised learning, vision transformers, OCR, and multi modal. Hope that it will be useful to some of you 🙂

deep-learning-figures

Figures I made during my PhD in Deep Learning, for my models and for context

deep-rl-class

This repo contain the syllabus of the Hugging Face Deep Reinforcement Learning Class.