Alternatives and similar repositories for atcold.github.com

Users that are interested in atcold.github.com are comparing it to the libraries listed below

• tmabraham / awesome-fastai
  A curated list of awesome fastai projects/blog posts/tutorials/etc.
  ☆173Updated 4 years ago
• sscardapane / reprodl2021
  Host repository for the "Reproducible Deep Learning" PhD course
  ☆408Updated 3 years ago
• AakashKumarNain / TF_JAX_tutorials
  All about the fundamental blocks of TF and JAX!
  ☆277Updated 4 years ago
• wandb / Groundbreaking-Papers
  ML Research paper summaries, annotated papers and implementation walkthroughs
  ☆114Updated 3 years ago
• AakashKumarNain / diffusion_models
  All about the fundamentals and working of Diffusion Models
  ☆159Updated 3 years ago
• Atcold / NYU-DLFL22
  NYU Deep Learning Fall 2022
  ☆64Updated last year
• dpressel / mint
  MinT: Minimal Transformer Library and Tutorials
  ☆260Updated 3 years ago
• vopani / jaxton
  100 exercises to learn JAX
  ☆600Updated 3 years ago
• Machine-Learning-Tokyo / __init__
  ☆136Updated 3 years ago
• clam004 / intro_continual_learning
  This is a tutorial to connect the fundamental mathematics to a practical implementation addressing the continual learning problem of arti…
  ☆363Updated 2 years ago
• The-AI-Summer / learn-deep-learning
  AI Summer's complete catalog of articles
  ☆112Updated 4 years ago
• brandokoch / attention-is-all-you-need-paper
  Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information process…
  ☆243Updated last year
• wandb / awesome-dl-projects
  This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
  ☆343Updated 3 years ago
• backpropagation64 / mle-interview-questions
  Interview Questions and Answers for Machine Learning Engineer role
  ☆117Updated 8 months ago
• init27 / Deep-Learning-Book-Supplementary-Materials
  Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al
  ☆54Updated 3 years ago
• rishabhk108 / AdvancedOptML
  CS 7301: Spring 2021 Course on Advanced Topics in Optimization in Machine Learning
  ☆181Updated 4 years ago
• the-full-stack / fsdl-text-recognizer-2022
  Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs
  ☆83Updated last year
• srush / pytorch-lecture
  Introductory lecture on Pytorch
  ☆17Updated 3 years ago
• warner-benjamin / commented-transformers
  Highly commented implementations of Transformers in PyTorch
  ☆138Updated 2 years ago
• jankrepl / mildlyoverfitted
  Paper implementations from scratch and machine learning tutorials
  ☆348Updated 2 years ago
• muellerzr / Walk-with-fastai-revisited
  Source notebook code for the course, stripped of all information. Please consider puchasing the course at https://store.walkwithfastai.co…
  ☆36Updated last year
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆201Updated 3 years ago
• fastai / fastdiffusion
  Notes and plans for fastdiffusion course
  ☆209Updated 3 years ago
• Paperspace / PyTorch-101-Tutorial-Series
  PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.
  ☆265Updated 5 years ago
• Machine-Learning-Tokyo / d2l.ai
  ☆25Updated 4 years ago
• slds-lmu / seminar_multimodal_dl
  https://slds-lmu.github.io/seminar_multimodal_dl/
  ☆171Updated 3 years ago
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆416Updated 3 years ago
• gordicaleksa / get-started-with-JAX
  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…
  ☆776Updated 2 years ago
• DarshanDeshpande / jax-models
  Unofficial JAX implementations of deep learning research papers
  ☆161Updated 3 years ago
• walkwithfastai / walkwithfastai.github.io
  Host for https://walkwithfastai.com
  ☆145Updated last year