Reverse Dependencies of hydra-core

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

• emcaps — Code for the paper Genetically encoded barcodes for correlative volume electron microscopy
• ens-label-inspector — no summary
• epytc — An open-source Python package for modeling water quality in water distribution systems
• es-aces — ACES: Automatic Cohort Extraction System for Event-Streams
• espnet — ESPnet: end-to-end speech processing toolkit
• eurocropsml — EuroCropsML is a ready-to-use benchmark dataset for few-shot crop type classification using Sentinel-2 imagery.
• 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
• f9ml — JSI F9 machine learning framework.
• facetorch — Face analysis PyTorch framework.
• fairseq — Facebook AI Research Sequence-to-Sequence Toolkit
• falcon-challenge — no summary
• fasr — FASR: Fast Automatic Speech Recognition
• 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
• feature-fabrica — Open-source Python library designed to improve engineering practices and transparency in feature engineering.
• 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.
• flsim — Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as vision and text.
• flyvis — Connectome and task-constrained vision models of the fruit fly.
• foambo — Configuration-based Multi-objective Bayesian Optimization on OpenFOAM cases with Ax-platform
• foxai — Model Interpretability for PyTorch.
• foxysafe — GitLab backup tool.
• fseval — Benchmarking framework for Feature Selection and Feature Ranking algorithms 🚀
• funasr — FunASR: A Fundamental End-to-End Speech Recognition Toolkit
• fuse-med-ml — A python framework accelerating ML based discovery in the medical field by encouraging code reuse. Batteries included :)
• fusion-bench — A Comprehensive Benchmark of Deep Model Fusion
• gentropy — Open Targets python framework for post-GWAS analysis
• geoai-detectron2 — Detectron2 is FAIR's next-generation research platform for object detection and segmentation.
• geowatch — no summary
• git-t5 — Open source machine learning framework for training T5 models on source code in JAX/Flax.
• goldenretriever-core — Dense Retriever
• grape-pi — Using graph neural networks to enhance protein identification using protein interaction networks.
• grappa-ff — no summary
• gravitorch — A library to train ML models with PyTorch
• groundino-samnet — A SAM model with GroundingDINO model for feet segmentation
• gtvision — A light library to check if two complex/nested objects are equal or not
• habitat-lab — Habitat-Lab: a modular high-level library for end-to-end development in Embodied AI.
• hcpdiff — A universal Stable-Diffusion toolbox
• heatgeo — Heat geodesic embeddings
• helical — Helical Python SDK
• hideandseek — library for deep learning and privacy preserving deep learning
• high-order-implicit-representation — no summary
• high-order-layers-torch — High order layers in pytorch
• hijax — An experiment framework for Haiku and Jax
• hiraishin — A thin PyTorch-Lightning wrapper for building configuration-based DL pipelines with Hydra.
• hotaru — High performance Optimizer to extract spike Timing And cell location from calcium imaging data via lineaR impUlse
• hotpp-benchmark — Evaluate generative event sequence models on the long horizon prediction task.
• hourly — A time tracking tool for git repos
• hsf — A simple yet exhaustive segmentation tool of the Hippocampal Subfields in T1w and T2w MRIs.
• hydra-auto-schema — Automagically generate yaml schemas for your Hydra config files
• hydra-aws-batch-launcher — AWS Batcher Launcher for Hydra apps
• hydra-ax-sweeper — Hydra Ax Sweeper plugin
• hydra-callbacks — A collection of usefull hydra callbacks for hydra configuration
• hydra-colorlog — Enables colorlog for Hydra apps
• hydra-configen — no summary
• hydra-experiment-sweeper — A hydra sweeper with configurable overrides for reproducible experiments
• hydra-ext-sweeper — A hydra sweeper with extended syntax for efficient parameter sweeping
• hydra-filter-sweeper — A Hydra plugin to extend the basic sweeper with customizable filters.
• hydra-joblib-launcher — Joblib Launcher for Hydra apps
• hydra-lsf-launcher — Lsf Hydra Launcher plugin
• hydra-moai-searchpath-plugin — moai Hydra SearchPath plugin
• hydra-nevergrad-sweeper — Hydra Nevergrad Sweeper plugin
• hydra-optuna-sweeper — Hydra Optuna Sweeper plugin
• hydra-orion-sweeper — Hydra Orion Sweeper plugin
• hydra-profiler — A simple hydra profiler to track and record memory usage and runtime information of jobs.
• hydra-range-sweeper-badr — Custom Hydra Range Sweeper plugin
• hydra-ray-launcher — Hydra Ray launcher plugin
• hydra-ray-launcher-badr — Hydra basic ray launcher
• hydra-rq-launcher — Redis Queue (RQ) Launcher for Hydra apps
• hydra-slurm-rich-launcher — A rich, visual interface for easily starting and monitoring your Hydra applications on SLURM clusters
• hydra-submitit-extension — A more flexible hydra submitit launcher
• hydra-submitit-launcher — Submitit Launcher for Hydra apps
• hydra-zen — Configurable, reproducible, and scalable workflows in Python, via Hydra
• hydraclick — Develop CLI tools with top-notch config management like a boss.
• hydraflow — Hydraflow integrates Hydra and MLflow to manage and track machine learning experiments.
• hydragen — Coming soon
• hydronaut — A framework for exploring the depths of hyperparameter space with Hydra and MLflow.
• hyfi — Hydra Fast Interface (Hydra and Pydantic based interface framework)
• hypatorch — HypaTorch: A library for abstract and visual model configuration
• hyperbox — Hyperbox: An easy-to-use NAS framework.
• HyperSweeper — Hydra sweeper integration of our favorite optimization packages, utilizing ask-and-tell interfaces.
• ibquant — A Python Framework for Interactive Brokers TWS API
• igniter — no summary
• imgraph — Graph Neural Network Library Built On Top Of PyTorch and PyTorch Geometric
• InDiCA — INtegrated DIagnostiC Analysis