Alternatives and similar repositories for torchprime

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

• mgmalek / efficient_cross_entropy
  ☆121Updated last year
• yixiaoer / tpux
  A set of Python scripts that makes your experience on TPU better
  ☆54Updated 2 months ago
• huggingface / kernels
  Load compute kernels from the Hub
  ☆337Updated last week
• google / praxis
  ☆190Updated 3 weeks ago
• AI-Hypercomputer / ray-tpu
  ☆15Updated 6 months ago
• nshepperd / flash_attn_jax
  JAX bindings for Flash Attention v2
  ☆99Updated last month
• fattorib / ZeRO-transformer
  Two implementations of ZeRO-1 optimizer sharding in JAX
  ☆14Updated 2 years ago
• proger / accelerated-scan
  Accelerated First Order Parallel Associative Scan
  ☆192Updated last year
• graphcore-research / unit-scaling
  A library for unit scaling in PyTorch
  ☆132Updated 4 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…
  ☆271Updated last week
• AI-Hypercomputer / jetstream-pytorch
  PyTorch/XLA integration with JetStream (https://github.com/google/JetStream) for LLM inference"
  ☆78Updated 2 months ago
• jax-ml / jax-llm-examples
  Minimal yet performant LLM examples in pure JAX
  ☆204Updated 2 months ago
• facebookresearch / spdl
  Scalable and Performant Data Loading
  ☆349Updated this week
• AI-Hypercomputer / kithara
  ☆16Updated 6 months ago
• ethansmith2000 / fsdp_optimizers
  supporting pytorch FSDP for optimizers
  ☆84Updated last year
• EleutherAI / nanoGPT-mup
  The simplest, fastest repository for training/finetuning medium-sized GPTs.
  ☆174Updated 5 months ago
• ayaka14732 / llama-2-jax
  JAX implementation of the Llama 2 model
  ☆216Updated last year
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆226Updated last year
• google-deepmind / nanodo
  ☆285Updated last year
• HazyResearch / based
  Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"
  ☆243Updated 6 months ago
• thecharlieblake / lovely-llama
  An implementation of the Llama architecture, to instruct and delight
  ☆21Updated 6 months ago
• erfanzar / EasyDeL
  Accelerate, Optimize performance with streamlined training and serving options with JAX.
  ☆325Updated this week
• warner-benjamin / optimi
  Fast, Modern, and Low Precision PyTorch Optimizers
  ☆116Updated 3 months ago
• epfml / dynamic-sparse-flash-attention
  ☆150Updated 2 years ago
• young-geng / mlxu
  Machine Learning eXperiment Utilities
  ☆46Updated 4 months ago
• AI-Hypercomputer / cloud-accelerator-diagnostics
  ☆24Updated 2 weeks ago
• young-geng / mintext
  Minimal but scalable implementation of large language models in JAX
  ☆35Updated last week
• cloneofsimo / min-fsdp
  ☆91Updated last year
• lucidrains / ring-attention-pytorch
  Implementation of 💍 Ring Attention, from Liu et al. at Berkeley AI, in Pytorch
  ☆548Updated 6 months ago
• JonasGeiping / linear_cross_entropy_loss
  A fusion of a linear layer and a cross entropy loss, written for pytorch in triton.
  ☆73Updated last year