Reverse Dependencies of hydra-core

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

• innoframework — no summary
• instanovo — De novo sequencing with InstaNovo
• jamexp — Jam Experiment helper
• jammy — A Versatile ToolBox
• jax-dips — Differentiable 3D interfacial PDE solvers written in JAX using the Neural Bootstrapping Method.
• jaxmarl — Multi-Agent Reinforcement Learning with JAX
• jrvc — Libraries for RVC inference
• jumanji — A diverse suite of scalable reinforcement learning environments in JAX
• jweb — A toolkit for web visualization
• jz-hydra-submitit-launcher — Jean Zay tailored Hydra submitit launcher.
• kamodo — A functional api for scientific data
• kamodo-core — A functional api for scientific data
• kazu — Biomedical Named Entity Recognition and Entity Linking for Enterprise use cases
• l2hmc — L2HMC algorithm for sampling in Lattice QCD
• LangTorch — Framework for intuitive LLM application development with tensors.
• lbster — Language models for Biological Sequence Transformation and Evolutionary Representation.
• lerobot — Le robot is learning
• lfxai — A framework to explain the latent representations of unsupervised black-box models with the help of usual feature importance and example-based methods.
• libface — Face analysis library.
• lightly — A deep learning package for self-supervised learning
• Lightning — The Deep Learning framework to train, deploy, and ship AI products Lightning fast.
• lightning-hpo — Lightning HPO
• lightning-pose — Semi-supervised pose estimation using pytorch lightning
• lightning-training-studio — Lightning HPO
• lightning-uq-box — Lighning-UQ-Box: A toolbox for uncertainty quantification in deep learning
• lightningtrain — PyTorch Lightning Project Setup
• lit-saint — Pytorch Lightning implementation of SAINT Model
• LIV-robotics — LIV: Language-Image Representations and Rewards for Robotic Control
• llama-agentic-system — Llama Agentic System
• llama-cmdline — Llama CLI
• llmeval — no summary
• lm-polygraph — Uncertainty Estimation Toolkit for Transformer Language Models
• lm-pub-quiz — Evaluate language models using multiple choice items
• lolpop — A software engineering framework for machine learning workflows
• LSystemRenderer — Display images generated by L-Systems.
• ltp-core — Language Technology Platform
• manim-present — Configuration-based HTML presentation producer using Manim.
• marine — Marine: Multi-task learning based on Japanese accent estimation
• marine-plus — Marine: Multi-task learning based on Japanese accent estimation (Also supports Windows and Python 3.12)
• masthay-helpers — Helper functions for repetitive and useful tasks
• matcha-tts — 🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching
• mayavoz — Deep learning toolkit for speech enhancement
• maze-rl — MazeRL is a development framework for building applied reinforcement learning systems, addressing real-world decision problems. It supports the complete development life cycle of RL applications, ranging from simulation engineering up to agent development, training and deployment.
• mazeai — A General Tool Set for Science Researches
• mbrl — A PyTorch library for model-based reinforcement learning research
• mcpp — McCabe++ (mcpp): cyclomatic complexity and other vulnerability-related code metrics
• meds-tab — Scalable Tabularization of MEDS format Time-Series data
• MEDS-tabularization — Scalable Tabularization of MEDS format Time-Series data
• meds-torch — A MEDS PyTorch Dataset, leveraging a on-the-fly retrieval strategy for flexible, efficient data loading.
• MEDS-transforms — MEDS ETL and transformation functions leveraging a sharding-based parallelism model & polars.
• mephisto — Crowdsourcing made simpler.
• meta-blocks — A modular toolbox for accelerating meta-learning research :rocket:
• metadrive-simulator — An open-ended driving simulator with infinite scenes
• minedojo — research project
• minestudio — A simple and efficient Minecraft development kit.
• minihack — MiniHack The Planet: A Sandbox for Open-Ended Reinforcement Learning Research
• ml-in-prod-juliarty-ml-project-1 — That is a homework project
• mlonmcu — This project contains research code related to the deployment of inferenceor learning applications on tiny micro-controllers.
• mlops-ods — no summary
• mloq — Package for initializing ML projects following ML Ops best practices.
• MLXP — A framework for conducting machine learning experiments in python
• mmlearn — A modular framework for research on multimodal representation learning.
• moai-hydra-searchpath-plugin — moai Hydra SearchPath plugin
• moai-mdk — moai: Accelerated, Flexible, Modular, Reproducible, Insightful AI
• monet-pytorch — Pytorch implementation of Multi-Object Network(MONet)
• moroccan-licence-plate — Detection and recognition of moroccan car licence plates.
• motrack — Tracking-by-detection (MOT) package
• move-dl — Multi-omics variational autoencoder
• mqtts-lightning — Add a short description here
• mridc — Data Consistency for Magnetic Resonance Imaging
• mtrl — MTRL: Multi Task RL Algorithms
• mujoco_controllers — A repository for debugging controller implementations applied to mujoco models.
• multi-ruptures — Multiple breakpoint detection toolkit.
• multibeast — no summary
• MultiEL — Multilingual Entity Linking model by BELA model
• multiviewae — A library for running multiview autoencoder models
• narg2p — Non AutoRegressive Grapheme to Phoneme conversion Toolkit
• nemo-toolkit — NeMo - a toolkit for Conversational AI
• neoconfigen — A fork of hydra-core's configen with extended type-compatibility.
• nett-bd — A small example package
• niceml — Welcome to niceML 🍦, a Python-based MLOps framework that uses TensorFlow and Dagster. This framework streamlines the development, and maintenance of machine learning models, providing an end-to-end solution for building efficient and scalable pipelines.
• nlhappy — 自然语言处理(NLP)
• nn-template-core — Utility library for nn-template.
• nnabla-nas — Use NNC compute resource from NNabla
• nnsmith — "Automatic DNN generation for fuzzing and more."
• noisebase — Datasets and benchmarks for neural Monte Carlo denoising
• nrslib — Standardised Library for the Benchmarking of News Recommenders Systems
• nvidia-modulus — A deep learning framework for AI-driven multi-physics systems
• nvidia-modulus.launch — Optimized tranining recipes for accelerating PyTorch workflows of AI driven surrogates for physical systems
• nvidia-modulus.sym — A deep learning framework for AI-driven multi-physics systems
• nvidia-tao-deploy — NVIDIA's package for deploying models from TAO Toolkit.
• omniverse — A collection of code for Omniverse.
• oneat — Action classification for TZYX/TYX shaped images, Static classification for TYX/YX shaped images
• open-metric-learning — OML is a PyTorch-based framework to train and validate the models producing high-quality embeddings.
• openbb-chat — Deep learning package to add chat capabilities to OpenBB
• OpenELM — Evolution Through Large Models
• OpenHands — 👐OpenHands : Making Sign Language Recognition Accessible
• openkiwi — Machine Translation Quality Estimation Toolkit
• openpack-torch — PyTorch extention to work around with OpenPack dataset
• openspeech-core — Open-Source Toolkit for End-to-End Automatic Speech Recognition