Alternatives and similar repositories for unit-scaling:

Users that are interested in unit-scaling are comparing it to the libraries listed below

• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆222Updated 7 months ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆78Updated last year
• mgmalek / efficient_cross_entropy
  ☆95Updated 9 months ago
• nshepperd / flash_attn_jax
  JAX bindings for Flash Attention v2
  ☆88Updated 8 months 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.
  ☆45Updated 8 months ago
• proger / accelerated-scan
  Accelerated First Order Parallel Associative Scan
  ☆177Updated 7 months ago
• young-geng / scalax
  A simple library for scaling up JAX programs
  ☆134Updated 4 months ago
• google-research / jaxpruner
  ☆220Updated last month
• cloneofsimo / min-fsdp
  ☆76Updated 8 months ago
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆157Updated last year
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆208Updated 3 months ago
• MatX-inc / seqax
  seqax = sequence modeling + JAX
  ☆150Updated this week
• ethansmith2000 / fsdp_optimizers
  supporting pytorch FSDP for optimizers
  ☆79Updated 3 months ago
• cchan / tccl
  extensible collectives library in triton
  ☆84Updated 6 months ago
• epfml / dynamic-sparse-flash-attention
  ☆140Updated last year
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆104Updated this week
• gpu-mode / ring-attention
  ring-attention experiments
  ☆127Updated 5 months ago
• lucidrains / triton-transformer
  Implementation of a Transformer, but completely in Triton
  ☆260Updated 2 years ago
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆249Updated this week
• jax-ml / jax-triton
  jax-triton contains integrations between JAX and OpenAI Triton
  ☆386Updated last week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆191Updated this week
• lucidrains / flash-attention-jax
  Implementation of Flash Attention in Jax
  ☆206Updated last year
• stanford-futuredata / stk
  ☆101Updated 6 months ago
• davisyoshida / lorax
  LoRA for arbitrary JAX models and functions
  ☆135Updated last year
• andylolu2 / simpleGEMM
  The simplest but fast implementation of matrix multiplication in CUDA.
  ☆34Updated 7 months ago
• google / praxis
  ☆184Updated last month
• NX-AI / flashrnn
  FlashRNN - Fast RNN Kernels with I/O Awareness
  ☆76Updated this week
• shikaiqiu / compute-better-spent
  ☆52Updated 5 months ago
• google / aqt
  ☆290Updated this week
• lixilinx / psgd_torch
  Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…
  ☆170Updated 3 months ago