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

• mingyin0312 / RLFromScratch
  ☆428Updated 3 weeks ago
• xbresson / CS5242_2025
  NUS CS5242 Neural Networks and Deep Learning, Xavier Bresson, 2025
  ☆400Updated 5 months ago
• microsoft / dion
  Dion optimizer algorithm
  ☆343Updated 2 weeks ago
• huggingface / ai-deadlines
  ⏰ AI conference deadline countdowns
  ☆280Updated last week
• AniruddhaChattopadhyay / Books
  ☆256Updated last month
• eje24 / iap-diffusion-labs
  Labs for MIT 6.S184/6.S975, IAP 2025
  ☆216Updated 4 months ago
• stanford-cs336 / spring2024-lectures
  ☆360Updated 8 months ago
• McGill-NLP / nano-aha-moment
  Single File, Single GPU, From Scratch, Efficient, Full Parameter Tuning library for "RL for LLMs"
  ☆528Updated 2 months ago
• alexiglad / EBT
  PyTorch Code for Energy-Based Transformers paper -- generalizable reasoning and scalable learning
  ☆502Updated 2 weeks ago
• ulab-uiuc / tiny-scientist
  [EMNLP 2025 Demo] TinyScientist: A Minimal Framework for Building Research Agents
  ☆106Updated this week
• thomasahle / tensorgrad
  Machine Learning with Symbolic Tensors
  ☆340Updated 3 months ago
• francoisfleuret / dlc
  ☆42Updated 8 months ago
• Quentin-Anthony / torch-profiling-tutorial
  ☆497Updated last month
• 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…
  ☆224Updated this week
• stanford-cs336 / assignment2-systems
  Student version of Assignment 2 for Stanford CS336 - Language Modeling From Scratch
  ☆73Updated last month
• SakanaAI / AI-Scientist-ICLR2025-Workshop-Experiment
  ☆268Updated 5 months ago
• facebookresearch / llm-speedrunner
  The Automated LLM Speedrunning Benchmark measures how well LLM agents can reproduce previous innovations and discover new ones in languag…
  ☆96Updated last month
• apoorvkh / academic-pretraining
  $100K or 100 Days: Trade-offs when Pre-Training with Academic Resources
  ☆146Updated 4 months ago
• microsoft / ArchScale
  Simple & Scalable Pretraining for Neural Architecture Research
  ☆293Updated last month
• Foundations-of-Computer-Vision / visionbook
  <Foundations of Computer Vision> Book
  ☆319Updated 2 weeks ago
• jax-ml / scaling-book
  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs
  ☆605Updated last week
• LambdaLabsML / distributed-training-guide
  Best practices & guides on how to write distributed pytorch training code
  ☆478Updated 6 months ago
• google-research / optformer
  ☆229Updated last month
• SakanaAI / RLT
  Training teachers with reinforcement learning able to make LLMs learn how to reason for test time scaling.
  ☆340Updated 2 months ago
• diffprog / code
  Code for the book "The Elements of Differentiable Programming".
  ☆266Updated 3 months ago
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆187Updated 6 months ago
• huggingface / picotron_tutorial
  ☆217Updated 7 months ago
• google-deepmind / transformer_ngrams
  ☆31Updated 10 months ago
• yuanchenyang / smalldiffusion
  Simple and readable code for training and sampling from diffusion models
  ☆610Updated 3 months ago
• zhengkid / Parallel-R1
  The offical repo for "Parallel-R1: Towards Parallel Thinking via Reinforcement Learning"
  ☆147Updated this week