Alternatives and similar repositories for rl_course_dhbw-ma

Users that are interested in rl_course_dhbw-ma are comparing it to the libraries listed below

• callummcdougall / ARENA_3.0
  ☆646Updated last week
• callummcdougall / ARENA_2.0
  Resources for skilling up in AI alignment research engineering. Covers basics of deep learning, mechanistic interpretability, and RL.
  ☆221Updated last year
• evintunador / triton_docs_tutorials
  making the official triton tutorials actually comprehensible
  ☆53Updated 2 weeks ago
• wolfecameron / nanoMoE
  An extension of the nanoGPT repository for training small MOE models.
  ☆172Updated 5 months ago
• EleutherAI / cookbook
  Deep learning for dummies. All the practical details and useful utilities that go into working with real models.
  ☆811Updated 2 weeks ago
• hkproj / triton-flash-attention
  ☆187Updated 7 months ago
• LambdaLabsML / distributed-training-guide
  Best practices & guides on how to write distributed pytorch training code
  ☆463Updated 5 months ago
• Yuan-Meng / search_rec_ads_papers
  Papers on Search, Recommendations, and Ads (搜广推)
  ☆19Updated 3 weeks ago
• huggingface / picotron_tutorial
  ☆208Updated 5 months ago
• AssemblyAI-Community / Machine-Learning-From-Scratch
  Implementation of popular ML algorithms from scratch
  ☆863Updated last year
• jsbaan / transformer-from-scratch
  Well documented, unit tested, type checked and formatted implementation of a vanilla transformer - for educational purposes.
  ☆254Updated last year
• rwitten / HighPerfLLMs2024
  ☆519Updated last year
• HazyResearch / aisys-building-blocks
  Building blocks for foundation models.
  ☆529Updated last year
• gautierdag / bpeasy
  Fast bare-bones BPE for modern tokenizer training
  ☆164Updated last month
• mlops-discord / gpu-optimization-workshop
  Slides, notes, and materials for the workshop
  ☆328Updated last year
• hkproj / pytorch-llama
  LLaMA 2 implemented from scratch in PyTorch
  ☆345Updated last year
• Devinterview-io / pytorch-interview-questions
  🟣 Pytorch interview questions and answers to help you prepare for your next machine learning and data science interview in 2025.
  ☆192Updated last week
• melisa-writer / short-transformers
  Prune transformer layers
  ☆69Updated last year
• yanneta / deep-learning-tutorials
  Deep Learning Tutorials
  ☆10Updated 6 months ago
• neelnanda-io / Crosscoders
  ☆51Updated 8 months ago
• lucasdelimanogueira / PyNorch
  Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)
  ☆151Updated last year
• CLAIRE-Labo / python-ml-research-template
  A template for starting reproducible Python machine-learning projects with hardware acceleration. Find an example at https://github.com/C…
  ☆103Updated 2 months ago
• IDRIS-CNRS / DLO-JZ
  formation Deep Learning Optimisé pour Jean Zay
  ☆15Updated last month
• ndif-team / nnsight
  The nnsight package enables interpreting and manipulating the internals of deep learned models.
  ☆622Updated last week
• aju22 / LLaMA2
  This repository contains an implementation of the LLaMA 2 (Large Language Model Meta AI) model, a Generative Pretrained Transformer (GPT)…
  ☆70Updated last year
• ResidentMario / pytorch-training-performance-guide
  Guidebook and reference on PyTorch training optimizations
  ☆27Updated 2 years ago
• MekkCyber / TritonAcademy
  A repository to unravel the language of GPUs, making their kernel conversations easy to understand
  ☆189Updated 2 months ago
• stanford-cs336 / spring2024-lectures
  ☆339Updated 7 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆384Updated 5 months ago
• lucidrains / speculative-decoding
  Explorations into some recent techniques surrounding speculative decoding
  ☆278Updated 7 months ago