Atcold / NYU-DLSP20Links
NYU Deep Learning Spring 2020
☆6,784Updated 7 months ago
Alternatives and similar repositories for NYU-DLSP20
Users that are interested in NYU-DLSP20 are comparing it to the libraries listed below
Sorting:
- NYU Deep Learning Spring 2021☆1,650Updated 2 months ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆7,007Updated 2 months ago
- 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.☆12,431Updated 2 months ago
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,898Updated 5 years ago
- Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.☆2,563Updated 4 years ago
- A collection of various deep learning architectures, models, and tips☆17,403Updated 2 years ago
- This repo contains annotated research papers that I found really good and useful☆2,766Updated last month
- Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.☆5,175Updated last year
- High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.☆4,727Updated last week
- In-depth tutorials for implementing deep learning models on your own with PyTorch.☆1,563Updated 2 years ago
- A scikit-learn compatible neural network library that wraps PyTorch☆6,149Updated last month
- "Probabilistic Machine Learning" - a book series by Kevin Murphy☆5,489Updated 2 months ago
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,785Updated last year
- In this repository, I will share some useful notes and references about deploying deep learning-based models in production.☆4,384Updated last year
- Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.☆868Updated 5 months ago
- Lab materials for the Full Stack Deep Learning Course☆1,219Updated 3 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
- An unofficial styleguide and best practices summary for PyTorch☆2,011Updated 4 years ago
- PyTorch tutorials.☆9,032Updated this week
- VIP cheatsheets for Stanford's CS 229 Machine Learning☆19,219Updated 5 years ago
- Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L☆2,055Updated 2 years ago
- Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep lear…☆1,160Updated 3 years ago
- A guideline for building practical production-level deep learning systems to be deployed in real world applications.☆4,602Updated 7 months ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,698Updated last year
- A Code-First Introduction to NLP course☆3,478Updated 2 years ago
- Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)☆939Updated 2 years ago
- Accelerated deep learning R&D☆3,372Updated 7 months ago
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆16,359Updated last week
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,784Updated 5 years ago