yandex-research / DeDLOC
Official code for "Distributed Deep Learning in Open Collaborations" (NeurIPS 2021)
☆116Updated 3 years ago
Alternatives and similar repositories for DeDLOC:
Users that are interested in DeDLOC are comparing it to the libraries listed below
- PyTorch implementation of L2L execution algorithm☆107Updated 2 years ago
- ☆245Updated 6 months ago
- Implementation of the specific Transformer architecture from PaLM - Scaling Language Modeling with Pathways - in Jax (Equinox framework)☆184Updated 2 years ago
- ☆64Updated 2 years ago
- Implementation of a Transformer, but completely in Triton☆253Updated 2 years ago
- Torch Distributed Experimental☆115Updated 5 months ago
- HetSeq: Distributed GPU Training on Heterogeneous Infrastructure☆106Updated last year
- Swarm training framework using Haiku + JAX + Ray for layer parallel transformer language models on unreliable, heterogeneous nodes☆237Updated last year
- "Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts" (NeurIPS 2020), original PyTorch implemen…☆53Updated 4 years ago
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆153Updated last month
- Compression schema for gradients of activations in backward pass☆44Updated last year
- some common Huggingface transformers in maximal update parametrization (µP)☆79Updated 2 years ago
- Inference code for LLaMA models in JAX☆114Updated 8 months ago
- OSLO: Open Source framework for Large-scale model Optimization☆306Updated 2 years ago
- ☆58Updated 2 years ago
- Research and development for optimizing transformers☆125Updated 3 years ago
- Techniques used to run BLOOM at inference in parallel☆37Updated 2 years ago
- Amos optimizer with JEstimator lib.☆81Updated 8 months ago
- Various transformers for FSDP research☆34Updated 2 years ago
- OSLO: Open Source for Large-scale Optimization☆175Updated last year
- Blazing fast training of 🤗 Transformers on Graphcore IPUs☆85Updated 10 months ago
- This repository contains example code to build models on TPUs☆30Updated last year
- HomebrewNLP in JAX flavour for maintable TPU-Training☆47Updated last year
- DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight …☆235Updated last year
- ☆181Updated this week
- Memory Efficient Attention (O(sqrt(n)) for Jax and PyTorch☆180Updated 2 years ago
- A minimal PyTorch Lightning OpenAI GPT w DeepSpeed Training!☆111Updated last year
- Memory-efficient transformer. Work in progress.☆19Updated 2 years ago
- Python Research Framework☆106Updated 2 years ago
- A case study of efficient training of large language models using commodity hardware.☆68Updated 2 years ago