jiajunhua / rasbt-deeplearning-modelsLinks
☆14Updated 3 years ago
Alternatives and similar repositories for rasbt-deeplearning-models
Users that are interested in rasbt-deeplearning-models are comparing it to the libraries listed below
Sorting:
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆451Updated last year
- A collection of various deep learning architectures, models, and tips☆17,403Updated 2 years ago
- Code examples in pyTorch and Tensorflow for CS230☆4,205Updated 2 years ago
- This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.☆2,473Updated last year
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆909Updated 4 years ago
- The "Python Machine Learning (3rd edition)" book code repository☆4,986Updated 2 years ago
- PyTorch 官方中文教程包含 60 分钟快速入门教程,强化教程,计算机视觉,自然语言处理,生成对抗网络,强化学习。欢迎 Star,Fork!☆2,857Updated 3 years ago
- Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.☆5,175Updated last year
- Machine learning, in numpy☆16,240Updated 2 years ago
- Mathematical derivation and pure Python code implementation of machine learning algorithms.☆1,549Updated last year
- PyTorch tutorials and best practices.☆1,711Updated 10 months ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆12,447Updated 2 months ago
- An evolving guide to learning Deep Learning effectively.☆717Updated 5 years ago
- 7个阶段45天带你玩转数据科学!☆22Updated 3 years ago
- Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop☆2,545Updated 3 years ago
- Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.☆2,562Updated 4 years ago
- This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.☆4,342Updated last year
- ☆115Updated 7 years ago
- Homepage for STAT 157 at UC Berkeley☆3,934Updated 4 years ago
- After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole cou…☆1,573Updated 6 years ago
- A collection of useful files for the Advanced Machine Learning (GR5242) Fall 2019 course.☆21Updated 6 years ago
- A jupyter notebook based on Scikit-Learn and TensorFlow 2.0 with Chinese comment that takes you through the basics of machine learning an…☆30Updated 4 years ago
- Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018☆1,484Updated 5 years ago
- A best practice for deep learning project template architecture.☆1,388Updated 6 years ago
- My class notebooks and assignments for Coursera Natural Language Processing Specialization, including Natural Language Processing with Cl…☆28Updated 5 years ago
- 《李宏毅深度学习教程》(李宏毅老师推荐👍,苹果书🍎),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases☆16,311Updated 2 months ago
- An unofficial styleguide and best practices summary for PyTorch☆2,011Updated 4 years ago
- Learning Convolutional Neural Networks with Interactive Visualization.☆8,865Updated 2 years ago
- Repository for the free online book Machine Learning from Scratch (link below!)☆1,294Updated 2 years ago
- Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).☆812Updated 6 years ago