Reverse Dependencies of hydra-core

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

• openspeech-py — Open-Source Toolkit for End-to-End Automatic Speech Recognition
• openspeechs — Open-Source Toolkit for End-to-End Automatic Speech Recognition
• opentouch-interface — Interface to connect to touch sensors
• optimum-benchmark — Optimum-Benchmark is a unified multi-backend utility for benchmarking Transformers, Timm, Diffusers and Sentence-Transformers with full support of Optimum's hardware optimizations & quantization schemes.
• paddlesci — A library for scientific machine learning
• palkit — Useful functions.
• pandassta — Package for easy datarequests from sensortings
• pansharpening — Deep learning for pansharpening in remote sensing
• parlai — Unified platform for dialogue research.
• pdebench — PDEBench: An Extensive Benchmark for Scientific Machine Learning
• pedl — Search the biomedical literature for protein interactions andprotein associations.
• periomod — Package for short-term periodontal modeling
• phalp — PHALP: A Python package for People Tracking in 3D
• physics-based-pedestrian-modeling — Python package to create physics-based pedestrian models from crowd measurements
• pipeline-feature — Feature Pipeline of MLOps Pipeline Version 1
• pixellib — PixelLib is a library used for easy implementation of semantic and instance segmentation of objects in images and videos with few lines of code.PixelLib makes it possible to train a custom segmentation model using few lines of code.PixelLib supports background editing of images and videos using few lines of code.
• plancraft — Plancraft: an evaluation dataset for planning with LLM agents
• posebench — Comprehensive benchmarking of protein-ligand structure generation methods
• power-cogs — A set of useful research templates for deep learning projects
• pretty-print-hydra — Pretty print Hydra configs for easier debugging in development.
• prodsys — A useful module for production system simulation and optimization
• propinfer — Modular framework to run Property Inference Attacks on Machine Learning models.
• proteinworkshop — no summary
• provision-ai — AI experiment provisioner
• pugh-torch — Functions, losses, and module blocks to share between experiments.
• PVNet — PVNet
• PVNet-summation — PVNet_summation
• pyannote.audio — Neural building blocks for speaker diarization
• pycasx — A Python implementation of ACAS XA and ACAS XU for Flightgear.
• pyclarity — Tools for the Clarity Challenge
• pycyclops — Framework for healthcare ML implementation
• pydevtips — Functions and scripts to demonstrate Python development tips.
• pymasep — Multiagent system engine plateform library in python
• pyrovelocity — A multivariate RNA Velocity model to estimate future cell states with uncertainty using probabilistic modeling with pyro.
• pyscenekit — PySceneKit is an open-source Python library designed for common 2D and 3D scene processing and visualization tasks.
• pytorch-caldera — no summary
• pytorch-cortex — A modular architecture for deep learning systems.
• pytorch-holo — Benchmarks for discrete sequence optimization
• pytorch-lightning — PyTorch Lightning is the lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate.
• pytorch-segmentation-models-trainer — Image segmentation models training of popular architectures.
• pytorch-yard — PyTorch experiment runner
• pytorch3d — PyTorch3D is FAIR's library of reusable components for deep Learning with 3D data.
• pytouch — A PyTorch library for tactile touch sensing.
• qai-hub-models — Models optimized for export to run on device.
• quadra — Deep Learning experiment orchestration library
• quke — Compare the answering capabilities of different LLMs - for example LlaMa, GPT4o, Mistral, Claude, Cohere, others - against user provided document(s) and questions.
• qumin — Qumin: Quantitative Modelling of Inflection
• ragbits-evaluate — Evaluation module for Ragbits components
• rainbowneko — Neural network training and inference framework
• ranking-table-tennis — A ranking table tennis system
• ranzen — A toolkit facilitating machine-learning experimentation.
• rats-processors — Rats Processors
• rbyte — Multimodal PyTorch dataset library
• RCAEval — no summary
• regulAS — Bioinformatics Tool for the Integrative Analysis of Alternative Splicing Regulome using RNA-Seq data
• reinventing-catastrophe-modelling — no summary
• relik — Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget
• removesalt — Add a short description here!
• retexture — ReTexture dataset toolkit for generation and analysis
• rgpl — This package contains our code for the paper [URL].
• rl4co — RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark
• rna — Basic and essential code building blocks of all pythons
• rob-pitch — Robust pitch prediction using PyTorch
• robobo-emotion — Librería para detectar emociones en imágenes y audio usando Robobo
• rocks-classifier — Rock classifier deployed on railway and monitored using Weights and Biases!
• rofunc — Full-process robot learning from demonstration package
• rtk-mult-clf — no summary
• rul-adapt — A collection of unsupervised domain adaption approaches for RUL estimation.
• ruprompts — Fast prompt tuning framework for large language models
• rxn-reaction-preprocessing — Reaction preprocessing tools
• sail-on-client — Client and Protocols for DARPA sail-on
• samv2 — fork of the official SAMv2 implementation with cpu support
• satflow — Satellite Optical Flow
• scalingtheunet — This project is the source code to our paper.
• schnetpack — SchNetPack - Deep Neural Networks for Atomistic Systems
• SciAssist — A toolkit for Scientific Document Processing
• scope-rl — SCOPE-RL: A pipeline for offline reinforcement learning research and applications
• scprint — scPRINT is a Large Cell Model for Gene Network Inference, Denoising and more from scRNAseq data
• script-prof — Simple script for collecting logs of memory and time profiling.
• scyan — Single-cell Cytometry Annotation Network
• sequel-core — A Continual Learning Framework for both Jax and PyTorch.
• serotiny — A framework of tools to structure, configure and drive deep learning projects
• sheeprl — High-quality, single file and distributed implementation of Deep Reinforcement Learning algorithms with production-friendly features
• sherpa-ai — Sherpa: AI-augmented thinking companion
• shrike — Python utilities for compliant Azure machine learning
• sim-web-visualizer — Web based visualizer for simulators
• slg-nimrod — minimal deep learning framework
• slot-attention-pytorch — Pytorch slot-attention implementation of Slot Attention
• smarts — no summary
• snake-fmri — A simulator and validator of fMRI reconstruction methods.
• spark-loader — loads spark
• splat-trainer — Gaussian Splatting scene reconstruction with taichi-splatting
• sportsml — ML for sports
• sqlalchemy-uow — Unit of Work for SQLAlchemy project
• stopes — Large-Scale Translation Data Mining.
• strideformer — Package to use a two-stage transformer for long-document classification
• structured-data-validation — Python package for the validation of AROS [semi]structured data using pydantic models.
• subsscraper — no summary
• super-gradients — SuperGradients
• surround — Surround is a framework for serving machine learning pipelines in Python.