Alternatives and similar repositories for deep-representation-learning-book

Users that are interested in deep-representation-learning-book are comparing it to the libraries listed below

• xbresson / CS5242_2025
  NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025
  ☆408Updated 9 months ago
• ludocomito / learning-diffusion
  A practical guide to diffusion models, implemented from scratch.
  ☆245Updated last month
• thomasahle / tensorgrad
  Machine Learning with Symbolic Tensors
  ☆356Updated last month
• mingyin0312 / RLFromScratch
  ☆466Updated 5 months ago
• Quentin-Anthony / torch-profiling-tutorial
  ☆544Updated 6 months ago
• helblazer811 / Diffusion-Explorer
  Interactive visualizations of the geometric intuition behind diffusion models.
  ☆1,067Updated last week
• microsoft / dion
  Dion optimizer algorithm
  ☆431Updated 3 weeks ago
• jax-ml / scaling-book
  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
  ☆843Updated 2 weeks ago
• diffprog / code
  Code for the book "The Elements of Differentiable Programming".
  ☆282Updated 7 months ago
• Atcold / Energy-Book
  Deep Learning, an Energy Approach
  ☆242Updated 8 months ago
• yuanchenyang / smalldiffusion
  Simple and readable code for training and sampling from diffusion models
  ☆696Updated 7 months ago
• tanishqkumar / beyond-nanogpt
  Minimal and annotated implementations of key ideas from modern deep learning research.
  ☆1,228Updated last week
• huggingface / ai-deadlines
  ⏰ AI conference deadline countdowns
  ☆322Updated last week
• eje24 / iap-diffusion-labs
  Labs for MIT 6.S184/6.S975, IAP 2025/2026
  ☆320Updated 2 weeks ago
• LambdaLabsML / distributed-training-guide
  Best practices & guides on how to write distributed pytorch training code
  ☆575Updated 3 months ago
• alexiglad / EBT
  PyTorch Code for Energy-Based Transformers paper -- generalizable reasoning and scalable learning
  ☆593Updated 2 months ago
• kvfrans / lmpo
  ☆136Updated 2 months ago
• google-deepmind / regress-lm
  Library for text-to-text regression, applicable to any input string representation and allows pretraining and fine-tuning over multiple r…
  ☆313Updated last week
• McGill-NLP / nano-aha-moment
  Single File, Single GPU, From Scratch, Efficient, Full Parameter Tuning library for "RL for LLMs"
  ☆593Updated 4 months ago
• openai / circuit_sparsity
  Open-source release accompanying Gao et al. 2025
  ☆501Updated last month
• marin-community / marin
  Open-source framework for the research and development of foundation models.
  ☆752Updated this week
• yifanzhang-pro / deep-delta-learning
  Official Project Page for Deep Delta Learning (https://huggingface.co/papers/2601.00417)
  ☆333Updated this week
• yjavaherian / deepmind-x-ucl-rl
  lecture slides for Deepmind x UCL 2021 reinforcement learning course available in YouTbue
  ☆93Updated last year
• Foundations-of-Computer-Vision / visionbook
  <Foundations of Computer Vision> Book
  ☆437Updated this week
• fbach2000 / Learning_Theory_from_First_Principles
  Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
  ☆137Updated last year
• google-deepmind / alphaevolve_repository_of_problems
  ☆191Updated 2 weeks ago
• ZHZisZZ / dllm
  dLLM: Simple Diffusion Language Modeling
  ☆1,716Updated this week
• meta-pytorch / torchforge
  PyTorch-native post-training at scale
  ☆613Updated this week
• VachanVY / Reinforcement-Learning
  PyTorch implementations of algorithms from "Reinforcement Learning: An Introduction by Sutton and Barto", along with various RL research …
  ☆205Updated 5 months ago
• mitmath / matrixcalc
  MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
  ☆570Updated last week