chaijian2019's Stars
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics
d2l-ai/d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
google-research/bert
TensorFlow code and pre-trained models for BERT
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
Awesome-HarmonyOS/HarmonyOS
A curated list of awesome things related to HarmonyOS. 华为鸿蒙操作系统。
microsoft/AirSim
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
tensorflow/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
zalandoresearch/fashion-mnist
A MNIST-like fashion product database. Benchmark :point_down:
Morizeyao/GPT2-Chinese
Chinese version of GPT2 training code, using BERT tokenizer.
PAIR-code/facets
Visualizations for machine learning datasets
codertimo/BERT-pytorch
Google AI 2018 BERT pytorch implementation
yuuwill/1024app-android
草榴官方客户端,小草客户端,Android
SmirkCao/Lihang
Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]
chyroc/WechatSogou
基于搜狗微信搜索的微信公众号爬虫接口
dbiir/UER-py
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Ovilia/lipstick
口红颜色可视化 - 为什么你的女神总缺一支口红
donnyyou/torchcv
TorchCV: A PyTorch-Based Framework for Deep Learning in Computer Vision
Arturus/kaggle-web-traffic
1st place solution
geekinglcq/CDCS
Chinese Data Competitions' Solutions
terrifyzhao/bert-utils
一行代码使用BERT生成句向量,BERT做文本分类、文本相似度计算
bojone/attention
some attention implements
ZhiqingXiao/rl-book
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
NLPScott/bert-Chinese-classification-task
bert中文分类实践
apachecn/nlp-pytorch-zh
《Natural Language Processing with PyTorch》中文翻译
sjvasquez/web-traffic-forecasting
Kaggle | Web Traffic Forecasting 📈
jiangxinyang227/NLP-Project
including text classifier, language model, pre_trained model, multi_label classifier, text generator, dialogue. etc
jasonwu0731/trade-dst
Source code for transferable dialogue state generator (TRADE, Wu et al., 2019). https://arxiv.org/abs/1905.08743
songyingxin/BERT-pytorch
BERT 源码阅读
ctr4si/MMN
:memo: Abstractive Summarization of Reddit Posts with Multi-level Memory Networks. In NAACL-HLT, 2019 (oral).
chaijian2019/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06