Alternatives and similar repositories for FBTT-Embedding

Users that are interested in FBTT-Embedding are comparing it to the libraries listed below

• spcl / substation
  Research and development for optimizing transformers
  ☆131Updated 4 years ago
• petuum / autodist
  Simple Distributed Deep Learning on TensorFlow
  ☆134Updated 6 months ago
• pytorch / tensorpipe
  A tensor-aware point-to-point communication primitive for machine learning
  ☆279Updated last month
• PersiaML / PERSIA
  High performance distributed framework for training deep learning recommendation models based on PyTorch.
  ☆411Updated 6 months ago
• ptillet / torch-blocksparse
  Block-sparse primitives for PyTorch
  ☆160Updated 4 years ago
• microsoft / varuna
  ☆252Updated last year
• TezRomacH / layer-to-layer-pytorch
  PyTorch implementation of L2L execution algorithm
  ☆109Updated 2 years ago
• mlcommons / training_results_v0.7
  This repository contains the results and code for the MLPerf™ Training v0.7 benchmark.
  ☆57Updated 2 years ago
• parasj / checkmate
  Training neural networks in TensorFlow 2.0 with 5x less memory
  ☆137Updated 3 years ago
• harvard-acc / DeepRecSys
  http://vlsiarch.eecs.harvard.edu/research/recommendation/
  ☆135Updated 3 years ago
• kaiyuyue / torchshard
  Slicing a PyTorch Tensor Into Parallel Shards
  ☆300Updated 6 months ago
• facebookresearch / DLRM-FlexFlow
  Development repository for integrating FlexFlow (A distributed deep learning framework that supports flexible parallelization strategies)…
  ☆29Updated 4 years ago
• NVIDIA / PyProf
  A GPU performance profiling tool for PyTorch models
  ☆509Updated 4 years ago
• VoVAllen / tf-dlpack
  DLPack for Tensorflow
  ☆35Updated 5 years ago
• graphcore / tutorials
  Training material for IPU users: tutorials, feature examples, simple applications
  ☆87Updated 2 years ago
• snuspl / parallax
  A Tool for Automatic Parallelization of Deep Learning Training in Distributed Multi-GPU Environments.
  ☆132Updated 3 years ago
• microsoft / infinibatch
  Efficient, check-pointed data loading for deep learning with massive data sets.
  ☆210Updated 2 years ago
• octoml / synr
  A library for syntactically rewriting Python programs, pronounced (sinner).
  ☆68Updated 3 years ago
• NVIDIA-Merlin / distributed-embeddings
  distributed-embeddings is a library for building large embedding based models in Tensorflow 2.
  ☆46Updated 2 years ago
• linkedin / gdmix
  A deep ranking personalization framework
  ☆133Updated 2 years ago
• ucla-labx / distbelief
  Implementing Google's DistBelief paper
  ☆116Updated 2 years ago
• graphcore / poptorch
  PyTorch interface for the IPU
  ☆181Updated 2 years ago
• guanh01 / CS692-mlsys
  This is the (evolving) reading list for the seminar.
  ☆61Updated 5 years ago
• YannDubs / Hash-Embeddings
  PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.
  ☆204Updated 7 years ago
• huggingface / pytorch_block_sparse
  Fast Block Sparse Matrices for Pytorch
  ☆550Updated 4 years ago
• epfml / powersgd
  Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727
  ☆149Updated last year
• pytorch / rfcs
  PyTorch RFCs (experimental)
  ☆136Updated 6 months ago
• marsupialtail / sparsednn
  Fast sparse deep learning on CPUs
  ☆56Updated 3 years ago
• facebookresearch / tbsm
  Time-based Sequence Model for Personalization and Recommendation Systems
  ☆49Updated 4 years ago
• chentingpc / dpq_embedding_compression
  Differentiable Product Quantization for End-to-End Embedding Compression.
  ☆64Updated 2 years ago