NYU Deep Learning Spring 2020
☆6,797Jun 16, 2025Updated 9 months ago
Alternatives and similar repositories for NYU-DLSP20
Users that are interested in NYU-DLSP20 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- NYU Deep Learning Spring 2021☆1,657Nov 11, 2025Updated 5 months ago
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆12,484Mar 26, 2026Updated 2 weeks ago
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆30,990Apr 1, 2026Updated last week
- A collection of various deep learning architectures, models, and tips☆17,455Feb 8, 2024Updated 2 years ago
- Python code for "Probabilistic Machine learning" book by Kevin Murphy☆7,051Feb 26, 2026Updated last month
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including …☆28,555Aug 18, 2024Updated last year
- PyTorch Tutorial for Deep Learning Researchers☆32,257Aug 15, 2023Updated 2 years ago
- PyTorch tutorials and best practices.☆1,713Mar 24, 2025Updated last year
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.☆16,462Feb 1, 2026Updated 2 months ago
- The fastai book, published as Jupyter Notebooks☆24,856Aug 16, 2024Updated last year
- Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lect…☆12,798Oct 19, 2024Updated last year
- This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.☆4,347Jul 25, 2024Updated last year
- The fastai deep learning library☆27,968Updated this week
- Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.☆2,564Apr 2, 2021Updated 5 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆36,603Apr 3, 2026Updated last week
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆31,246Oct 15, 2023Updated 2 years ago
- PRML algorithms implemented in Python☆11,720Apr 5, 2025Updated last year
- Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101☆5,495Jun 27, 2023Updated 2 years ago
- Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book a…☆21,944Jul 13, 2023Updated 2 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆23,827Sep 1, 2025Updated 7 months ago
- A curated list of references for MLOps☆13,842Nov 21, 2024Updated last year
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆39,482Nov 27, 2022Updated 3 years ago
- Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course☆10,784Apr 16, 2024Updated last year
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dm…☆10,325Apr 15, 2023Updated 2 years ago
- Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.☆5,206Jul 25, 2024Updated last year
- Learn how to develop, deploy and iterate on production-grade ML applications.☆47,108Mar 4, 2026Updated last month
- Latex code for making neural networks diagrams☆24,592Aug 21, 2023Updated 2 years ago
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆35,311Updated this week
- 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.☆28,759Jul 18, 2024Updated last year
- Google Research☆37,679Updated this week
- This repository contains implementations and illustrative code to accompany DeepMind publications☆14,824Apr 1, 2026Updated last week
- Best Practices, code samples, and documentation for Computer Vision.☆9,839Feb 16, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- this repository accompanies the book "Grokking Deep Learning"☆7,694Jun 1, 2024Updated last year
- Companion webpage to the book "Mathematics For Machine Learning"☆15,317Mar 13, 2025Updated last year
- Jupyter notebooks for the code samples of the book "Deep Learning with Python"☆20,023Sep 18, 2025Updated 6 months ago
- The Hitchiker's Guide to PyTorch☆1,197Sep 13, 2021Updated 4 years ago
- torch-optimizer -- collection of optimizers for Pytorch☆3,170Mar 22, 2024Updated 2 years ago
- 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal model…☆159,060Updated this week
- A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning☆20,342Mar 30, 2026Updated last week