lightning-transformersFlexible components pairing π€ Transformers with Pytorch Lightning
Stars: β 551 (+344.35%)
Mutual labels: hydra, pytorch-lightning
lightning-asrModular and extensible speech recognition library leveraging pytorch-lightning and hydra.
Stars: β 36 (-70.97%)
Mutual labels: hydra, pytorch-lightning
deepaudio-speakerneural network based speaker embedder
Stars: β 19 (-84.68%)
Mutual labels: hydra, pytorch-lightning
lightning-hydra-templatePyTorch Lightning + Hydra. A very user-friendly template for rapid and reproducible ML experimentation with best practices. β‘π₯β‘
Stars: β 1,905 (+1436.29%)
Mutual labels: hydra, pytorch-lightning
fastfaceLight Face Detection using PyTorch Lightning
Stars: β 71 (-42.74%)
Mutual labels: pytorch-lightning
bert-squeezeπ οΈ Tools for Transformers compression using PyTorch Lightning β‘
Stars: β 56 (-54.84%)
Mutual labels: pytorch-lightning
gatlingHydra-enabled GPU path tracer that supports MaterialX and MDL.
Stars: β 159 (+28.23%)
Mutual labels: hydra
hydraA command-line utility for generating language-specific project structure.
Stars: β 18 (-85.48%)
Mutual labels: hydra
hydra-jsDOES NOT WORK WITH VERSIONS > 0.10.0 - A simple library to help you build node-based identity providers that work with Hydra.
Stars: β 17 (-86.29%)
Mutual labels: hydra
tidal-looperDifferent looper variants for SuperDirt to provide live sampling in TidalCycles.
Stars: β 55 (-55.65%)
Mutual labels: hydra
embeddings-for-treesSet of PyTorch modules for developing and evaluating different algorithms for embedding trees.
Stars: β 19 (-84.68%)
Mutual labels: pytorch-lightning
quickvisionAn Easy To Use PyTorch Computer Vision Library
Stars: β 49 (-60.48%)
Mutual labels: pytorch-lightning
Neural-HMMNeural HMMs are all you need (for high-quality attention-free TTS)
Stars: β 69 (-44.35%)
Mutual labels: pytorch-lightning
t3apiTYPO3 extension t3api. REST API for your TYPO3 project. Config with annotations, built in filtering, pagination, typolinks, image processing, uploads (FAL), serialization contexts, responses in Hydra/JSON-LD format.
Stars: β 28 (-77.42%)
Mutual labels: hydra
CommandGenInterfaceSimple vueJS based command generator which I developed in order to learn vueJS a little bit more.
Stars: β 17 (-86.29%)
Mutual labels: hydra
2021-dialogue-summary-competition[2021 νλ―Όμ μ νκ΅μ΄ μμ±β’μμ°μ΄ μΈκ³΅μ§λ₯ κ²½μ§λν] λνμμ½ λΆλ¬Έ μλΌκΏλ¬λΌκΏ νμ λνμμ½ νμ΅ λ° μΆλ‘ μ½λλ₯Ό 곡μ νκΈ° μν λ ν¬μ
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Stars: β 86 (-30.65%)
Mutual labels: pytorch-lightning
weaselWeakly Supervised End-to-End Learning (NeurIPS 2021)
Stars: β 117 (-5.65%)
Mutual labels: pytorch-lightning
MVSNet plMVSNet: Depth Inference for Unstructured Multi-view Stereo using pytorch-lightning
Stars: β 49 (-60.48%)
Mutual labels: pytorch-lightning
DOLG-pytorchUnofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"
Stars: β 69 (-44.35%)
Mutual labels: pytorch-lightning
classyclassy is a simple-to-use library for building high-performance Machine Learning models in NLP.
Stars: β 61 (-50.81%)
Mutual labels: pytorch-lightning