time-to-learn-ml's repositories
joyful-pandas
Pandas中文教程
PI-REC
:fire: PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain. :fire: 图像翻译，条件GAN，AI绘画
Machine-Learning-Study-Path-March-2019
A complete ML study path, focused on TensorFlow and Scikit-Learn
maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
HyperDL-Tutorial
深度学习教程整理 | 干货
BERT-pytorch
Google AI 2018 BERT pytorch implementation
100-Days-Of-ML-Code-1
100-Days-Of-ML-Code中文版
tencent-ml-images
Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet
100-Days-Of-ML-Code
100 Days of ML Coding
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
brain.js
🤖 Neural networks in JavaScript
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
funNLP
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌&零件词库、时间抽取、连续英文切割、中文词向量大全、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、历史名人词库、诗词词库、医学词库、饮食词库、法律词库、汽车词库、动物词库、中文聊天语料。
pytorch-pretrained-BERT
PyTorch version of Google AI's BERT model with script to load Google's pre-trained models
bert
TensorFlow code and pre-trained models for BERT
Grokking-Deep-Learning
this repository accompanies my forthcoming book "Grokking Deep Learning"
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
adanet
Fast and flexible AutoML with learning guarantees.