Alternatives and similar repositories for PyMarlin:

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

• tchaton / pytorch2lightning
  ☆15Updated 3 years ago
• philschmid / optimum-static-quantization
  ☆28Updated last year
• google-research / precondition
  ☆31Updated last week
• MathInf / toroidal
  a lightweight transformer library for PyTorch
  ☆71Updated 3 years ago
• fidelity / stoke
  A lightweight wrapper for PyTorch that provides a simple declarative API for context switching between devices, distributed modes, mixed-…
  ☆67Updated last year
• r2llab / wrangl
  Parallel data preprocessing for NLP and ML.
  ☆34Updated 5 months ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆47Updated 11 months ago
• Lightning-AI / ecosystem-ci
  Automate issue discovery for your projects against Lightning nightly and releases.
  ☆46Updated last week
• johnrobinsn / redpajama
  Training and Inference Notebooks for the RedPajama (OpenLlama) models
  ☆18Updated last year
• antofuller / configaformers
  A python library for highly configurable transformers - easing model architecture search and experimentation.
  ☆49Updated 3 years ago
• lucidrains / memory-editable-transformer
  My explorations into editing the knowledge and memories of an attention network
  ☆34Updated 2 years ago
• Yard1 / ray-skorch
  Distributed skorch on Ray Train
  ☆57Updated 2 years ago
• microsoft / Litmus
  AI Assistant for Building Reliable, High-performing and Fair Multilingual NLP Systems
  ☆46Updated 2 years ago
• QData / Reevaluating-NLP-Adversarial-Examples
  EMNLP Findings 2020: Reevaluating Adversarial Examples in Natural Language
  ☆7Updated 4 years ago
• huggingface / tune
  ☆87Updated 2 years ago
• pytorch-tpu / examples
  This repository contains example code to build models on TPUs
  ☆30Updated 2 years ago
• MonaNashaat / Asterisk
  Generating Training Data Made Easy
  ☆43Updated 4 years ago
• HomebrewML / HomebrewNLP-torch
  A case study of efficient training of large language models using commodity hardware.
  ☆69Updated 2 years ago
• machine-learning-apps / wandb-action
  GitHub Action That Retrieves Model Runs From Weights & Biases
  ☆60Updated 3 years ago
• ahthie7u / cockpit
  Code for the anonymous submission "Cockpit: A Practical Debugging Tool for Training Deep Neural Networks"
  ☆31Updated 4 years ago
• fastai / fastpy
  An easy way to start a python programming environment using GitHub Codespaces.
  ☆15Updated 4 years ago
• iKernels / transformers-lightning
  A collection of Models, Datasets, DataModules, Callbacks, Metrics, Losses and Loggers to better integrate pytorch-lightning with transfor…
  ☆47Updated last year
• nathanbreitsch / torchmocks
  Test pytorch code with minimal computational overhead
  ☆25Updated last year
• krandiash / quinine
  A library to create and manage configuration files, especially for machine learning projects.
  ☆77Updated 3 years ago
• prajjwal1 / fluence
  A deep learning library based on Pytorch focussed on low resource language research and robustness
  ☆69Updated 3 years ago
• lf1-io / padl
  Functional deep learning
  ☆108Updated 2 years ago
• facebookresearch / coocmap
  code for paper "Accessing higher dimensions for unsupervised word translation"
  ☆21Updated last year
• HendrikStrobelt / LMdiff
  A diff tool for language models
  ☆42Updated last year
• JulesBelveze / bert-squeeze
  🛠️ Tools for Transformers compression using PyTorch Lightning ⚡
  ☆82Updated 4 months ago
• Borda / pyDeprecate
  Simple tooling for marking deprecated functions or classes and re-routing to the new successors' instance.
  ☆51Updated 2 months ago