Alternatives and similar repositories for torchft:

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

• facebookresearch / spdl
  Scalable and Performant Data Loading
  ☆201Updated this week
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆217Updated 5 months ago
• foundation-model-stack / fms-fsdp
  🚀 Efficiently (pre)training foundation models with native PyTorch features, including FSDP for training and SDPA implementation of Flash…
  ☆213Updated this week
• apple / ml-recurrent-drafter
  ☆184Updated 3 weeks ago
• BobMcDear / attorch
  A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
  ☆505Updated 2 months ago
• NVIDIA / kvpress
  LLM KV cache compression made easy
  ☆289Updated this week
• huggingface / picotron
  Minimalistic 4D-parallelism distributed training framework for education purpose
  ☆544Updated 3 weeks ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆147Updated this week
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆208Updated 3 weeks ago
• ScalingIntelligence / KernelBench
  ☆82Updated this week
• Deep-Learning-Profiling-Tools / triton-viz
  ☆169Updated this week
• gpu-mode / profiling-cuda-in-torch
  ☆138Updated 11 months ago
• rkinas / triton-resources
  A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
  ☆136Updated this week
• facebookresearch / memory
  Memory layers use a trainable key-value lookup mechanism to add extra parameters to a model without increasing FLOPs. Conceptually, spars…
  ☆254Updated 3 weeks ago
• HanGuo97 / flute
  Fast Matrix Multiplications for Lookup Table-Quantized LLMs
  ☆214Updated this week
• huggingface / picotron_tutorial
  ☆91Updated this week
• facebookresearch / LayerSkip
  Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024
  ☆256Updated this week
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆180Updated this week
• cloneofsimo / min-fsdp
  ☆75Updated 6 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆113Updated 2 months ago
• LambdaLabsML / distributed-training-guide
  Best practices & guides on how to write distributed pytorch training code
  ☆329Updated 3 weeks ago
• NVIDIA / Star-Attention
  Efficient LLM Inference over Long Sequences
  ☆336Updated last week
• KellerJordan / Muon
  Muon optimizer for neural networks: >30% extra sample efficiency, <3% wallclock overhead
  ☆207Updated this week
• pytorch-labs / torchfix
  TorchFix - a linter for PyTorch-using code with autofix support
  ☆116Updated this week
• Lightning-AI / litdata
  Transform datasets at scale. Optimize datasets for fast AI model training.
  ☆393Updated this week
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆185Updated this week
• NVIDIA / Megatron-Energon
  Megatron's multi-modal data loader
  ☆155Updated last week
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆113Updated last year
• astramind-ai / BitMat
  An efficent implementation of the method proposed in "The Era of 1-bit LLMs"
  ☆154Updated 2 months ago
• vdesai2014 / inference-optimization-blog-post
  ☆85Updated 10 months ago