d2l-ai / d2l-enLinks
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
☆27,064Updated last year
Alternatives and similar repositories for d2l-en
Users that are interested in d2l-en are comparing it to the libraries listed below
Sorting:
- Companion webpage to the book "Mathematics For Machine Learning"☆14,626Updated 7 months ago
- Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!☆39,307Updated 2 years ago
- Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more☆33,658Updated this week
- A collection of various deep learning architectures, models, and tips☆17,265Updated last year
- A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems", which is `dm…☆9,591Updated 2 years ago
- this repository accompanies the book "Grokking Deep Learning"☆7,645Updated last year
- The fastai deep learning library☆27,499Updated last month
- Approaching (Almost) Any Machine Learning Problem☆8,167Updated 2 years ago
- The most cited deep learning papers☆25,998Updated last year
- This repository contains implementations and illustrative code to accompany DeepMind publications☆14,369Updated last month
- A playbook for systematically maximizing the performance of deep learning models.☆29,234Updated last year
- This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.☆4,326Updated last year
- NYU Deep Learning Spring 2020☆6,781Updated 3 months ago
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,603Updated 3 weeks ago
- A library for efficient similarity search and clustering of dense vectors.☆37,446Updated this week
- Deep Learning for humans☆63,462Updated this week
- Public facing notes page☆10,627Updated last month
- Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.☆30,222Updated last week
- Google Research☆36,516Updated this week
- Jupyter notebooks for the code samples of the book "Deep Learning with Python"☆19,602Updated 3 weeks ago
- Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. …☆28,763Updated 2 years ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,215Updated 2 months ago
- VIP cheatsheets for Stanford's CS 230 Deep Learning☆6,758Updated 5 years ago
- A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training☆22,669Updated last year
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆12,141Updated 3 weeks ago
- Flax is a neural network library for JAX that is designed for flexibility.☆6,858Updated this week
- Explanation to key concepts in ML☆8,095Updated 3 months ago
- Unsupervised text tokenizer for Neural Network-based text generation.☆11,345Updated last week
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on sing…☆27,462Updated this week
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆35,430Updated last week