Alternatives and similar repositories for dlmonitor

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

• TimDettmers / transformer-xl
  ☆64Updated 5 years ago
• lucidrains / g-mlp-gpt
  GPT, but made only out of MLPs
  ☆89Updated 4 years ago
• AndreasMadsen / stable-nalu
  Code for Neural Arithmetic Units (ICLR) and Measuring Arithmetic Extrapolation Performance (SEDL|NeurIPS)
  ☆145Updated 4 years ago
• srush / awesome-ml-tracking
  ☆104Updated 4 years ago
• yifding / hetseq
  HetSeq: Distributed GPU Training on Heterogeneous Infrastructure
  ☆106Updated 2 years ago
• srush / parallax
  ☆153Updated 5 years ago
• minitorch / minitorch.github.io
  Docs
  ☆143Updated 11 months ago
• neubig / minnn-assignment
  An assignment on creating a minimalist neural network toolkit for CS11-747
  ☆64Updated last year
• suriyadeepan / torchtest
  Unit Testing for pytorch, based on mltest
  ☆312Updated 5 years ago
• li-js / gpu_memory_profiling
  Profile the GPU memory usage of every line in a Pytorch code
  ☆83Updated 7 years ago
• facebookresearch / transformer-sequential
  Trains Transformer model variants. Data isn't shuffled between batches.
  ☆143Updated 3 years ago
• michaelrzhang / lookahead
  Implementation for the Lookahead Optimizer.
  ☆243Updated 3 years ago
• dennybritz / papergraph-ui
  Browse the CS/AI/ML research paper graph
  ☆51Updated 2 years ago
• MathInf / toroidal
  a lightweight transformer library for PyTorch
  ☆72Updated 3 years ago
• awaelchli / pytorch-lightning-snippets
  A collection of code snippets for my PyTorch Lightning projects
  ☆107Updated 4 years ago
• SirRob1997 / Crowded-Valley---Results
  This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
  ☆184Updated 4 years ago
• princeton-nlp / DataMUX
  [NeurIPS 2022] DataMUX: Data Multiplexing for Neural Networks
  ☆60Updated 2 years ago
• szymonmaszke / torchfunc
  PyTorch functions and utilities to make your life easier
  ☆194Updated 4 years ago
• cybertronai / transformer-xl
  Training Transformer-XL on 128 GPUs
  ☆141Updated 5 years ago
• ICLR / iclr.github.io
  ☆83Updated 5 years ago
• PetrochukM / HParams
  Configure Python functions explicitly and safely
  ☆127Updated 11 months ago
• RobertCsordas / transformer_generalization
  The official repository for our paper "The Devil is in the Detail: Simple Tricks Improve Systematic Generalization of Transformers". We s…
  ☆67Updated 2 years ago
• greentfrapp / attention-primer
  A demonstration of the attention mechanism with some toy experiments and explanations.
  ☆107Updated 7 years ago
• shreyansh26 / ML-Optimizers-JAX
  Toy implementations of some popular ML optimizers using Python/JAX
  ☆44Updated 4 years ago
• amzn / metalearn-leap
  Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…
  ☆148Updated 2 years ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• rwightman / efficientnet-jax
  EfficientNet, MobileNetV3, MobileNetV2, MixNet, etc in JAX w/ Flax Linen and Objax
  ☆128Updated last year
• kevinzakka / torchkit
  Research boilerplate for PyTorch.
  ☆149Updated 2 years ago
• HomebrewML / HomebrewNLP-torch
  A case study of efficient training of large language models using commodity hardware.
  ☆68Updated 3 years ago
• zackchase / machine-learning-resources
  A (possibly/eventually annotated?) collection of resources (books, demos, lectures, etc) that I personally like for various topics in mac…
  ☆32Updated 6 years ago