Reverse Dependencies of torcheval

The following projects have a declared dependency on torcheval:

• Aaron — A python library of convenience
• aimini — Repository for the library and docs build when learning stable diffusion from foundation
• AK-SSL — A Self-Supervised Learning Library
• atai — Atomic AI – An attempt at a minimalist, flexible deep learning framework for diverse models.
• cmn_ai — no summary
• danling — Scaffold for experienced Machine Learning Researchers
• ebes — EBES: Easy Benchmarking for Event Sequences.
• eh-pytorch-tabnet — PyTorch implementation of TabNet
• fairseq2 — FAIR Sequence Modeling Toolkit
• fairseq2-patch — FAIR Sequence Modeling Toolkit
• Few-Shot-Learning-NLP — This library provides tools and utilities for Few Shot Learning in Natural Language Processing (NLP).
• gpt2-prot — Single NT/AA resoultion biological GPT2 language modelling
• lbster — Language models for Biological Sequence Transformation and Evolutionary Representation.
• lfprop — A package for gradient-free neural network training using LFP
• lpcML — LPC ML is a machine learning workflow developed to optimize and analyze the impact of different design parameters on laser power converters (LPCs) solar cells
• lssm — Modelling pipeline to develop and monitor Large Soil Spectral Models (LSSM)
• macc — mini accelerator
• miniminiai — A mini version of fastai's miniai
• mlfompy — MLFoMPy is an effective tool that extracts the main figures of merit (FoM) of a semiconductors IV curve
• opendataval — Transparent Data Valuation
• quanda — Toolkit for quantitative evaluation of data attribution methods in PyTorch.
• qusi — no summary
• rapidai — wrapper library on top of PyTorch
• seagall — Single-cell explain etc etc
• slime-nlp — SLIME - Statistical and Linguistic Insights for Model Explanation
• spanda — Utilities to do research in soil spectroscopy harnessing the fastai framework and mindset
• tinytorchutil — A personal collection of small utility functions for PyTorch and DL development.
• tmnt — Topic modeling neural toolkit
• torch-nibs — A small framework for training and evaluating models in notebooks with pytorch
• torch-training-loop — Simple Keras-inspired Training Loop for Pytorch.
• torchTrainify — A package to simplify the training and testing of PyTorch models
• toxy-bot — A trained Discord Bot to detect and handle toxic messages in text channels.
• trainplotkit — Create live subplots in your notebook that update while training a PyTorch model
• twig-twm — TWIG-TWM: KGE Simulation and hyperparameter optimisation from graph topology characteristics
• twigi — TWIG-I: Embedding-free, treansfer-learning, enabled link prediction using graph topology :D
• tytorch — Based on a fork of the amazing mltrainer and mads_datasets by R. Grouls, tytorch is an opinionated base for working with data for and training with pytorch.
• wavpool — A network block with built in spacial and scale decomposition.