Alternatives and similar repositories for public_notebooks

Users that are interested in public_notebooks are comparing it to the libraries listed below

• dlsyscourse / hw0
  ☆56Updated 5 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆177Updated 2 years ago
• kshitij12345 / torchnnprofiler
  Context Manager to profile the forward and backward times of PyTorch's nn.Module
  ☆83Updated 2 years ago
• nvixnu / pmpp__programming_massively_parallel_processors
  Examples and exercises from the book Programming Massively Parallel Processors - A Hands-on Approach. David B. Kirk and Wen-mei W. Hwu (T…
  ☆77Updated 5 years ago
• lessw2020 / triton_kernels_for_fun_and_profit
  Custom kernels in Triton language for accelerating LLMs
  ☆27Updated last year
• softmax1 / Flash-Attention-Softmax-N
  CUDA and Triton implementations of Flash Attention with SoftmaxN.
  ☆73Updated last year
• gpu-mode / triton-tutorials
  ☆16Updated 8 months ago
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆115Updated last year
• stanford-cs324 / winter2023
  ☆38Updated 2 years ago
• alexzhang13 / Triton-Puzzles-Solutions
  Personal solutions to the Triton Puzzles
  ☆20Updated last year
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆292Updated 5 months ago
• rasbt / pytorch-memory-optim
  This code repository contains the code used for my "Optimizing Memory Usage for Training LLMs and Vision Transformers in PyTorch" blog po…
  ☆92Updated 2 years ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆155Updated 2 years ago
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆178Updated 2 weeks ago
• tengyuma / stats205_notes
  the public repo for stats205 scribe notes at Stanford University
  ☆14Updated 4 years ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆165Updated last year
• Leo-Adventure / CS182-Berkeley-Deep-Learning-23Spring
  This repository contains materials from the author's deep learning course at UC Berkeley lectured by Prof. Sahai, including coursework, a…
  ☆43Updated 2 years ago
• tonyduan / diffusion
  From-scratch diffusion model implemented in PyTorch.
  ☆99Updated 2 years ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆82Updated 2 years ago
• lucidrains / flash-attention-jax
  Implementation of Flash Attention in Jax
  ☆225Updated last year
• eduardoleao052 / Autograd-from-scratch
  Documented and Unit Tested educational Deep Learning framework with Autograd from scratch.
  ☆122Updated last year
• tuomaso / train_mnist_fast
  How to train a CNN to 99% accuracy on MNIST in less than a second on a laptop
  ☆70Updated 2 years ago
• dair-ai / awesome-research-proposals-guide
  A guide to improve your research proposals.
  ☆204Updated 5 years ago
• graphcore-research / out-of-the-box-fp8-training
  Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.
  ☆46Updated last year
• stanford-cs336 / spring2024-lectures
  ☆413Updated last year
• UmerHA / triton_util
  Make triton easier
  ☆50Updated last year
• ezyang / torchdbg
  PyTorch centric eager mode debugger
  ☆48Updated last year
• tianlinxu312 / Everything-about-LLMs
  A work in progress. Trying to write about all interesting or necessary pieces in the current development of LLMs and generative AI. Gra…
  ☆199Updated 2 years ago
• YinTat / optimizationbook
  ☆151Updated last week
• HenryNdubuaku / cuda-tutorials
  CUDA tutorials for Maths & ML tutorials with examples, covers multi-gpus, fused attention, winograd convolution, reinforcement learning.
  ☆210Updated 8 months ago