ceksudo

ceksudo's Stars

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python25.3k4202984.6k

• NVIDIA/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook14k2968553.3k

• NVIDIA/GenerativeAIExamples

  Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

  Language:Python2.9k6757685

• n2cholas/awesome-jax

  JAX - A curated list of resources https://github.com/google/jax

  1.7k518139

• mbzuai-oryx/Awesome-LLM-Post-training

  Awesome Reasoning LLM Tutorial/Survey/Guide

  Language:Python1k68

• shizhediao/ChatGPTPapers

  Must-read papers, related blogs and API tools on the pre-training and tuning methods for ChatGPT.

  31910119

• jax-ml/scaling-book

  Home for "How To Scale Your Model", a short blog-style textbook about scaling LLMs on TPUs

  Language:HTML2187431

• jacksonchen1998/LLaMA-Paper-List

  Collection of papers using LLaMA as backbone model

  35200