graykode / distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Researchers
☆1,625Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for distribution-is-all-you-need
- Statistical Learning Theory (CS229T) Lecture Notes☆720Updated 5 years ago
- Implement Statistical Learning Methods, Li Hang the hard way. 李航《统计学习方法》一书的硬核 Python 实现☆1,170Updated 2 years ago
- This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.☆4,245Updated 3 months ago
- Seminars DeepBayes Summer School 2018☆1,046Updated 5 years ago
- 《迁移学习简明手册》LaTex源码☆2,492Updated last year
- 白板推导系列课程笔记 初版☆496Updated 3 years ago
- Mathematical derivation and pure Python code implementation of machine learning algorithms.☆1,516Updated 2 months ago
- The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。☆2,463Updated 2 months ago
- some tircks for PyTorch☆578Updated 4 years ago
- PyTorch tutorials and best practices.☆1,657Updated 2 years ago
- Attempting to make the Deep Learning Book easier to understand.☆1,068Updated 6 years ago
- A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!☆673Updated 3 years ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆6,547Updated 3 months ago
- Paper Lists for Graph Neural Networks☆2,214Updated 10 months ago
- 整理AI相关领域的一些综述☆382Updated 3 years ago
- 记录Learning from data一书中的习题解答☆979Updated 5 years ago
- This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.☆2,361Updated 2 months ago
- 《深度学习》花书手推笔记☆486Updated 4 years ago
- MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML…☆2,595Updated 2 years ago
- fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具☆1,478Updated 10 months ago
- A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.☆1,507Updated 3 years ago
- [译] 面向机器学习的特征工程☆2,505Updated last year
- ☆806Updated 2 years ago
- ☆619Updated 4 years ago
- A comprehensive collection of recent papers on graph deep learning☆3,073Updated 3 years ago
- code for deep learning courses☆1,087Updated 4 months ago
- Ensemble learning related books, papers, videos, and toolboxes☆291Updated 5 years ago
- 深度学习面试问题 回答对应的DeepLearning中文版页码☆869Updated 7 years ago
- Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018☆1,437Updated 4 years ago