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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
由图灵的猫开发，基于开源GPT2.0的初代创作型人工智能 | 可扩展、可进化
《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。
人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial…
Code for "Latent ODEs for Irregularly-Sampled Time Series" paper
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
keras implement of transformers for humans
The most cited deep learning papers
Book about interpretable machine learning
铜钟 Tonzhon ( https://tonzhon.whamon.com ): 只有音乐, 无广告和社交; 干净纯粹, 资源丰富, 体验独特！(请注意：铜钟已不再使用 tonzhon.com，现在的 tonzhon.com 不是正版的铜钟)
A scikit-learn compatible library for graph kernels
Solving the Traveling Salesman Problem using Self-Organizing Maps
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
IJCAI18-阿里妈妈广告转化率预测代码（Rank29）
Features selector based on the self selected-algorithm, loss function and validation method
IJCAI-18 阿里妈妈搜索广告转化预测初赛方案
Lab Materials for MIT 6.S191: Introduction to Deep Learning
A special way to tune parameter with your RP.
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …
BDCI2017-让AI当法官，决赛第四（4/415）https://www.datafountain.cn/competitions/277/details