Alternatives and similar repositories for driss_torch

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

• lianakoleva / no-libtorch-compile
  ☆21Updated 7 months ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆80Updated last year
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆58Updated 2 weeks ago
• cchan / tccl
  extensible collectives library in triton
  ☆89Updated 6 months ago
• cloneofsimo / ptx-tutorial-by-aislop
  PTX-Tutorial Written Purely By AIs (Deep Research of Openai and Claude 3.7)
  ☆66Updated 6 months ago
• meta-pytorch / kraken
  Triton-based Symmetric Memory operators and examples
  ☆32Updated this week
• gau-nernst / quantized-training
  Explore training for quantized models
  ☆25Updated 3 months ago
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆108Updated last year
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆144Updated last year
• vdesai2014 / inference-optimization-blog-post
  ☆89Updated last year
• HazyResearch / train-tk
  train with kittens!
  ☆62Updated 11 months ago
• meta-pytorch / triton-cpu
  An experimental CPU backend for Triton (https//github.com/openai/triton)
  ☆45Updated last month
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆107Updated 8 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆293Updated last week
• gau-nernst / learn-cuda
  Learn CUDA with PyTorch
  ☆85Updated 2 weeks ago
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆223Updated last year
• NX-AI / flashrnn
  FlashRNN - Fast RNN Kernels with I/O Awareness
  ☆98Updated 4 months ago
• gpu-mode / profiling-cuda-in-torch
  ☆173Updated last year
• google / aqt
  ☆333Updated last month
• ashvardanian / cuda-python-starter-kit
  Parallel Computing starter project to build GPU & CPU kernels in CUDA & C++ and call them from Python without a single line of CMake usin…
  ☆29Updated 7 months ago
• axonn-ai / axonn
  Parallel framework for training and fine-tuning deep neural networks
  ☆65Updated 6 months ago
• jax-ml / ml_dtypes
  A stand-alone implementation of several NumPy dtype extensions used in machine learning.
  ☆301Updated this week
• Zyphra / tree_attention
  Tree Attention: Topology-aware Decoding for Long-Context Attention on GPU clusters
  ☆130Updated 10 months ago
• ethansmith2000 / TransformerExperiments
  ☆19Updated 4 months ago
• ROCm / pyrsmi
  python package of rocm-smi-lib
  ☆24Updated 2 months ago
• tspeterkim / mixed-precision-from-scratch
  Mixed precision training from scratch with Tensors and CUDA
  ☆27Updated last year
• sekstini / basedxl
  ☆18Updated last year
• abetlen / ggml-python
  Python bindings for ggml
  ☆146Updated last year
• euclaise / supertrainer2000
  ☆49Updated last year
• facebookresearch / fastgen
  Simple high-throughput inference library
  ☆142Updated 4 months ago