graykode / distribution-is-all-you-needLinks
The basic distribution probability Tutorial for Deep Learning Researchers
☆1,640Updated 4 years ago
Alternatives and similar repositories for distribution-is-all-you-need
Users that are interested in distribution-is-all-you-need are comparing it to the libraries listed below
Sorting:
- Attempting to make the Deep Learning Book easier to understand.☆1,080Updated 7 years ago
- Statistical Learning Theory (CS229T) Lecture Notes☆720Updated 5 years ago
- The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。☆2,605Updated 4 months ago
- This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.☆4,321Updated last year
- 慢慢整理所学的机器学习算法,并根据自己所理解的样子叙述出来。(注重数学推导)☆673Updated 2 years ago
- Seminars DeepBayes Summer School 2018☆1,046Updated 6 years ago
- 《迁移学习简明手册》LaTex源码☆2,530Updated 2 years ago
- Awesome-pytorch-list 翻译工作进行中......☆1,781Updated 4 years ago
- ☆822Updated 3 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☆1,179Updated 3 years ago
- A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!☆670Updated 4 years ago
- Notes and summaries of various ML, Computer Vision & NLP papers.☆561Updated 3 years ago
- Mathematical derivation and pure Python code implementation of machine learning algorithms.☆1,540Updated last year
- 记录Learning from data一书中的习题解答☆997Updated 6 years ago
- ☆524Updated 4 years ago
- 《Machine Learning: A Probabilistic Perspective》(Kevin P. Murphy)中文翻译和书中算法的Python实现。☆615Updated 7 months 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☆1,515Updated last year
- A tool library of classical machine learning algorithms with only numpy.☆223Updated 4 years ago
- ☆618Updated 5 years ago
- A Chinese Notes of MLAPP,MLAPP 中文笔记项目 https://zhuanlan.zhihu.com/python-kivy☆363Updated 4 years ago
- Stanford CS229 (Autumn 2017)☆366Updated 7 years ago
- PyTorch tutorials and best practices.☆1,695Updated 5 months ago
- 整理AI相关领域的一些综述☆380Updated 3 years ago
- An evolving guide to learning Deep Learning effectively.☆718Updated 5 years ago
- 《深度学习》花书手推笔记☆505Updated 5 years ago
- PRML algorithms implemented in Python☆11,658Updated 5 months ago
- A comprehensive collection of recent papers on graph deep learning☆3,083Updated 4 years ago
- Chinese Data Competitions' Solutions☆1,774Updated 6 years ago
- [译] 面向机器学习的特征工程☆2,551Updated 2 years ago
- notes of machine learning algorithm derivation☆779Updated 5 years ago