Alternatives and similar repositories for optimum-graphcore:

Users that are interested in optimum-graphcore are comparing it to the libraries listed below

• huggingface / bloom-jax-inference
  ☆67Updated 2 years ago
• Sea-Snell / JAX_llama
  Inference code for LLaMA models in JAX
  ☆118Updated 11 months ago
• ayaka14732 / llama-2-jax
  JAX implementation of the Llama 2 model
  ☆218Updated last year
• google / praxis
  ☆186Updated last week
• lucidrains / flash-attention-jax
  Implementation of Flash Attention in Jax
  ☆206Updated last year
• facebookresearch / diffq
  DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight …
  ☆235Updated 2 years ago
• EleutherAI / DeeperSpeed
  DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.
  ☆167Updated last month
• google / flaxformer
  ☆349Updated last year
• sholtodouglas / scalingExperiments
  ☆60Updated 3 years ago
• pytorch-labs / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆224Updated 9 months ago
• lucidrains / triton-transformer
  Implementation of a Transformer, but completely in Triton
  ☆264Updated 3 years ago
• yandex-research / DeDLOC
  Official code for "Distributed Deep Learning in Open Collaborations" (NeurIPS 2021)
  ☆116Updated 3 years ago
• lucidrains / PaLM-jax
  Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)
  ☆187Updated 2 years ago
• graphcore / tutorials
  Training material for IPU users: tutorials, feature examples, simple applications
  ☆86Updated 2 years ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆78Updated last year
• huggingface / optimum-habana
  Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
  ☆186Updated this week
• Sea-Snell / JAXSeq
  Train very large language models in Jax.
  ☆204Updated last year
• google / paxml
  Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimenta…
  ☆491Updated last week
• google / aqt
  ☆297Updated this week
• xrsrke / pipegoose
  Large scale 4D parallelism pre-training for 🤗 transformers in Mixture of Experts *(still work in progress)*
  ☆82Updated last year
• NVIDIA / JAX-Toolbox
  JAX-Toolbox
  ☆301Updated this week
• kingoflolz / swarm-jax
  Swarm training framework using Haiku + JAX + Ray for layer parallel transformer language models on unreliable, heterogeneous nodes
  ☆238Updated last year
• huggingface / olm-datasets
  Pipeline for pulling and processing online language model pretraining data from the web
  ☆177Updated last year
• jax-ml / jax-triton
  jax-triton contains integrations between JAX and OpenAI Triton
  ☆391Updated this week
• r-three / git-theta
  git extension for {collaborative, communal, continual} model development
  ☆211Updated 5 months ago
• microsoft / varuna
  ☆251Updated 9 months ago
• huggingface / optimum-tpu
  Google TPU optimizations for transformers models
  ☆109Updated 3 months ago
• google-research / jestimator
  Amos optimizer with JEstimator lib.
  ☆82Updated 11 months ago
• pytorch / torchdistx
  Torch Distributed Experimental
  ☆115Updated 9 months ago
• kyleliang919 / Long-context-transformers
  Exploring finetuning public checkpoints on filter 8K sequences on Pile
  ☆115Updated 2 years ago