Reverse Dependencies of pytorch

The following projects have a declared dependency on pytorch:

• aicoe-donkeycar — Self driving library for python.
• aicompleter — Interactive AI program framework for Python
• airtk — Comprehensive and simple framework for conducting AI robustness experiments
• alquimodelia — Keras based model builder
• alquitable — Keras-core based tools to enhance Alquimodelia
• array-api-compat — A wrapper around NumPy and other array libraries to make them compatible with the Array API standard
• astar-tcn — tcn package
• autoanno — Investigation into using AutoML and Topological Data Analysis for Automated Annotation
• bert-deid — Remove identifiers from data using BERT
• carsdata — Package to apply MCR-ALS on CARS images
• celltraj — Toolset for single-cell trajectory modeling.
• celltraj-copperma — Toolset for single-cell trajectory modeling.
• chady — A package for ML libraries
• controlnet — ControlNet - Adding Conditional Control to Text-to-Image Diffusion Models
• ddu-dirty-mnist — Dirty-MNIST from "Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty"
• debgpt — DebGPT -- General Purpose Terminal LLM Tool with Some Debian-Specific Design
• dipp — **D**eep **I**nverse **P**roblems **P**ackage - a library of add-ons to various Deep Learning frameworks for solving Inverse Problems
• Doric — Doric is a lightweight library for implementing and extending progressive neural networks.
• dropgrad — A PyTorch implementation of DropGrad regularization.
• dropgrad-dingo-actual — A PyTorch implementation of DropGrad regularization.
• dryml — Don't Repeat Yourself Machine Learning: A Machine Learning library to reduce code duplication, and increase portability and interoperability in the Machine Learning Space.
• e2efs — E2E-FS Feature Selection Method
• eplier — no summary
• forecat — Keras based Forescast model builder
• graph-diffusers — Diffusion operators for graph machine learning based on GraphBLAS
• kerNET — Connectionist models powered by kernel machines.
• kinlin — WIP: PyTorch based framework
• lofarnn — no summary
• lokeshk — A package to install a collection of ML packages
• mambio — Machine learning multi analysis batch IO
• Metapredictor — A Human-Centered Evaluation Framework for Explainability Methods
• mlmodels — Generic model API, Model Zoo in Tensorflow, Keras, Pytorch, Hyperparamter search
• mskit — Utils for MS data processing
• Multi-Layer-Kernel-Machine — A package for the implementation of the multi-layer kernel machine (MLKM).
• multinterp — Multivariate Interpolation.
• neuralpp — Neural Probabilistic Programs (NeuralPPs)
• nlpannotator — Annotator combining different NLP pipelines
• parkinson-detect — classification model using image time series for parkinson detection
• poremks — for analytics on nanoporous molecular structures
• pre-reco-utils — Recommender System Utilities
• pytorch-cpr — Constrained Parameter Regularization for PyTorch
• pytorch-quant-tool — An experimental neural network quantization environment in Pytorch.
• pytorch-to-tflite — Convert deep learning models
• readretro-test2 — READRetro lib test
• rhelpers — Rorys little helpers
• scatterem — scatterem
• sd-nn — implementation of the source differential neural network.
• sgnl — Inspiral Search Pipeline using SGN Framework
• stats-arb-portfolio — StatsArbML
• syntheseus-retro-star-benchmark — Syntheseus wrapper for retro* benchmark.
• tensors-data-class — PyTorch Extension Library for organizing tensors in a form of a structured tree of dataclasses, with built-in support for advanced collating mechanisms
• tigramite — Tigramite causal inference for time series
• trialtracker — Methods to extract and transform clinical trial data
• UDNN — UDNN
• vit-rgts — vit-registers - Pytorch
• warprnnt-numba — Warp RNNT loss ported to Numba for faster experimentation