Atcold / NYU-DLSP21
NYU Deep Learning Spring 2021
☆1,594Updated 5 months ago
Alternatives and similar repositories for NYU-DLSP21:
Users that are interested in NYU-DLSP21 are comparing it to the libraries listed below
- NYU Deep Learning Spring 2020☆6,725Updated 5 months ago
- ☆1,421Updated 2 years ago
- 🧠A study guide to learn about Transformers☆1,559Updated last year
- Pen and paper exercises in machine learning☆1,959Updated 8 months ago
- Machine Learning Notebooks☆3,320Updated 10 months ago
- Collection of useful machine learning codes and snippets (originally intended for my personal use)☆808Updated 10 months ago
- 📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.☆2,837Updated last year
- 100 exercises to learn JAX☆576Updated 2 years ago
- Jupyter notebooks for the Natural Language Processing with Transformers book☆4,027Updated 5 months ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆349Updated 3 years ago
- https://huyenchip.com/ml-interviews-book/☆3,600Updated 8 months ago
- Language model alignment-focused deep learning curriculum☆1,325Updated 6 months ago
- The Machine Learning & Deep Learning Compendium was a list of references in my private & single document, which I curated in order to exp…☆2,068Updated last month
- Probabilistic Machine Learning: Advanced Topics☆1,434Updated 2 months ago
- 🔥 A collection of PyTorch notebooks for learning and practicing deep learning☆554Updated 2 years ago
- Source code accompanying O'Reilly book: Machine Learning Design Patterns☆1,933Updated 3 years ago
- Code Repository for Machine Learning with PyTorch and Scikit-Learn☆3,954Updated last week
- Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)☆2,541Updated 7 months ago
- The full minitorch student suite.☆2,008Updated 6 months ago
- The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series o…☆689Updated last year
- Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn Univ…☆960Updated 4 months ago
- 🎓 Sharing machine learning course / lecture notes.☆6,108Updated 9 months ago
- Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.☆1,138Updated last year
- Host repository for the "Reproducible Deep Learning" PhD course☆407Updated 2 years ago
- Source for https://fullstackdeeplearning.com☆1,185Updated 8 months ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆697Updated 4 years ago
- All about the fundamental blocks of TF and JAX!☆275Updated 3 years ago
- ☆342Updated 4 years ago
- Notebooks for "Probabilistic Machine Learning" book☆202Updated 2 years ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆6,664Updated 2 months ago