Alternatives and similar repositories for efficient_cross_entropy

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

• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆73Updated last year
• epfml / dynamic-sparse-flash-attention
  ☆150Updated 2 years ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆81Updated last year
• graphcore-research / unit-scaling
  A library for unit scaling in PyTorch
  ☆133Updated 5 months ago
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆227Updated last year
• shawntan / scattermoe
  Triton-based implementation of Sparse Mixture of Experts.
  ☆257Updated 2 months ago
• siyan-zhao / prepacking
  The source code of our work "Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models" [AISTATS …
  ☆60Updated last year
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆243Updated 6 months ago
• microsoft / mutransformers
  some common Huggingface transformers in maximal update parametrization (µP)
  ☆87Updated 3 years ago
• cloneofsimo / min-fsdp
  ☆91Updated last year
• PiotrNawrot / nano-sparse-attention
  The simplest implementation of recent Sparse Attention patterns for efficient LLM inference.
  ☆91Updated 5 months ago
• insuhan / hyper-attn
  ☆83Updated 2 years ago
• samsja / muon_fsdp_2
  Muon fsdp 2
  ☆46Updated 4 months ago
• AnswerDotAI / cold-compress
  Cold Compress is a hackable, lightweight, and open-source toolkit for creating and benchmarking cache compression methods built on top of…
  ☆146Updated last year
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆271Updated 3 weeks ago
• softmax1 / Flash-Attention-Softmax-N
  CUDA and Triton implementations of Flash Attention with SoftmaxN.
  ☆73Updated last year
• warner-benjamin / optimi
  Fast, Modern, and Low Precision PyTorch Optimizers
  ☆118Updated 3 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆352Updated this week
• Edward-Sun / gpt-accelera
  Simple and efficient pytorch-native transformer training and inference (batched)
  ☆79Updated last year
• lucidrains / triton-transformer
  Implementation of a Transformer, but completely in Triton
  ☆277Updated 3 years ago
• proger / accelerated-scan
  Accelerated First Order Parallel Associative Scan
  ☆193Updated last year
• HazyResearch / zoology
  Understand and test language model architectures on synthetic tasks.
  ☆246Updated 2 months ago
• nil0x9 / flash-muon
  Flash-Muon: An Efficient Implementation of Muon Optimizer
  ☆223Updated 6 months ago
• jaymody / speculative-sampling
  Simple implementation of Speculative Sampling in NumPy for GPT-2.
  ☆98Updated 2 years ago
• cloneofsimo / min-max-gpt
  Minimal (400 LOC) implementation Maximum (multi-node, FSDP) GPT training
  ☆132Updated last year
• kyo-takano / chinchilla
  A toolkit for scaling law research ⚖
  ☆53Updated 10 months ago
• nshepperd / flash_attn_jax
  JAX bindings for Flash Attention v2
  ☆101Updated last month
• xiayuqing0622 / flex_head_fa
  Fast and memory-efficient exact attention
  ☆75Updated 9 months ago
• PiotrNawrot / sparse-frontier
  The evaluation framework for training-free sparse attention in LLMs
  ☆106Updated 2 months ago
• NVIDIA-NeMo / Emerging-Optimizers
  ☆107Updated last week