Reverse Dependencies of hydra-core

The following projects have a declared dependency on hydra-core:

• abses — ABSESpy makes it easier to build artificial Social-ecological systems with real GeoSpatial datasets and fully incorporate human behaviour.
• aequitas — The bias and fairness audit toolkit.
• agilerl — AgileRL is a deep reinforcement learning library focused on improving RL development through RLOps.
• aiflows — aiFlows implements the abstraction of Flows proposed in "Flows: Building Blocks of Reasoning and Collaborating AI" and greatly simplifies the design and implementation of complex (work)Flows involving humans, AI systems, and tools.
• allennlp-hydra — Hydra plugin for allennlp
• allin1 — All-In-One Music Structure Analyzer
• annolid — An annotation and instance segmentation-based multiple animal tracking and behavior analysis package.
• ANPR — Automatic Number Plate Recognition(ANPR)
• anypy — A collection of python utilities, without hard dependencies
• armory-testbed — Adversarial Robustness Test Bed
• asleep — A sleep classification tool for wearables
• atommic — Advanced Toolbox for Multitask Medical Imaging Consistency (ATOMMIC)
• audiossl — no summary
• Audyn — A PyTorch toolkit for audio synthesis.
• autoalbument — AutoML for image augmentation
• aws-fortuna — A Library for Uncertainty Quantification.
• bauwerk — Simple building control environments for reinforcement learning.
• bayesian-lora — Bayesian LoRA adapters for Language Models
• bbrl — RL library inspired from salina
• bbrl-algos — BBRL algos, a library of reinforcement learning algorithms
• bdpy — Brain decoder toolbox for Python
• bert-squeeze — Tools for Transformers compression using PyTorch Lightning
• bigpipe-response — Bigpipe, Pipelining web pages for high performance, django response object
• birdset — BirdSet: A multi-task benchmark and data pipeline for deep learning based avian bioacoustics
• blade2blade — Adversarial Training and SFT for Bot Safety Models
• blenderless — Blenderless is the python package for easy headless rendering using blender.
• blending-toolkit — Blending ToolKit
• bliss-deblender — Bayesian Light Source Separator
• bliss-toolkit — Bayesian Light Source Separator
• breaching — Framework for Attacks against Privacy in Federated Learning
• bunruija — A text classification toolkit
• camphr-cli — no summary
• caped-ai — Content aware prediction and detection based on artificial intelligence.
• cen — Contextual Explanation Networks.
• chope-data-haidilao — Featurestore wrapper
• classy-core — A powerful tool to train and use your classification models.
• codebook-features — Sparse and discrete interpretability tool for neural networks
• codeflare-torchx — TorchX SDK and Components
• combustion — Helpers for PyTorch model training/testing
• commonroad-geometric — Contains basic functionality for facilitating research on graph neural networks for autonomous driving and provides an interface between CommonRoad and Pytorch Geometric.
• compassionai-garland — CompassionAI Project Garland - machine translation for classical Tibetan
• compassionai-manas — CompassionAI Project Manas - a bidirectional Tibetan transformer
• core-lib — basic onion architecture library utils
• crescendo — Machine learning made easy
• crgeo — Contains basic functionality for facilitating research on graph neural networks for autonomous driving and provides an interface between CommonRoad and Pytorch Geometric.
• cyto-dl — Collection of representation learning models, techniques, callbacks, utils, used to create latent variable models of cell shape, morphology and intracellular organization.
• danoliterate — Benchmark of Generative Large Language Models in Danish
• dashit — Custom Command Submitit Launcher for Hydra apps
• data-dictionary-cui-mapping — This package allows you to load in a data dictionary and map cuis to defined fields using either the UMLS API or MetaMap API from NLM.
• data-gradients — DataGradients
• dbally — "Efficient, consistent and secure library for querying structured data with natural language"
• DBAnomTransformer — A collection of useful util functions
• deep-learning-utils — no summary
• deepke — DeepKE is a knowledge extraction toolkit for knowledge graph construction supporting low-resource, document-level and multimodal scenarios for entity, relation and attribute extraction.
• deepqmc — Deep-learning quantum Monte Carlo for electrons in real space
• demucs3 — Music source separation in the waveform domain.
• denoiser — Speech enhancement in the waveform domain. Supports offline and streaming evaluation. Implementation for https://arxiv.org/abs/2006.12847. For training, please directly clone the github repository.
• devnet — Unofficial pytorch implementation of deviation network for table data.
• df-qc-tools — Package for easy datarequests from sensortings
• dimet — A tool for Differential analysis of Isotope-labeled targeted Metabolomics data
• distify — Easy wrapper for parallelizing Python executions
• dive-into-graphs — DIG: Dive into Graphs is a turnkey library for graph deep learning research.
• dklfm — no summary
• dlhpcstarter — Deep Learning and HPC Starter Pack
• dlproject — The opinionated deep learning template.
• dlu_core — My utility functions for work
• dlunch — The ultimate web app for a well organized lunch.
• dMO — A package for learning cutting planes for mixed-integer optimization problems.
• doms_databasen — Scraper and PDF text processor for domsdatabasen.dk
• dpvs — no summary
• ds-best-practice-example — Showcase best practices for structuring a Python package.
• dvc — Git for data scientists - manage your code and data together
• easyeditor — easyeditor - Editing Large Language Models
• eiffel-framework — Evaluation Framework for FL-based intrusion detection using Flower.
• emcaps — Code for the paper Genetically encoded barcodes for correlative volume electron microscopy
• ens-label-inspector — no summary
• espnet — ESPnet: end-to-end speech processing toolkit
• experiment-lab — A suite of flexible experiments of a variety of different tasks.
• f3dasm — f3dasm - Framework for Data-driven development and Analysis of Structures and Materials
• facetorch — Face analysis PyTorch framework.
• fairseq — Facebook AI Research Sequence-to-Sequence Toolkit
• falcon-challenge — no summary
• fasthep-flow — Convert YAML into a workflow DAG
• fdr-beta — Sample fdr lib
• fdr-dev-1.0 — Sample fdr lib
• fdr-dev-1.1 — Sample fdr lib
• fdr-dev-1.2 — Sample fdr lib
• fdr-test — Sample fdr lib
• fdr-test2 — Sample fdr lib
• fdr-v1 — Sample fdr lib
• fdr-v2 — Sample fdr lib
• fdr-v3 — Sample fdr lib
• fdr-v4 — Sample fdr lib
• fdr-v5 — Sample fdr lib
• fdr-v6 — Sample fdr lib
• fedops — FL Lifecycle Operations Management Platform
• fer-pytorch — Facial Expression Recognition package implemented in Pytorch.
• Few-Shot-Learning-NLP — This library provides tools and utilities for Few Shot Learning in Natural Language Processing (NLP).
• fightchurn — Code from the book Fighting Churn With Data
• finetuning-scheduler — A PyTorch Lightning extension that enhances model experimentation with flexible fine-tuning schedules.