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 (+243.24%)
deepfillv2-pylightningClean minimal implementation of Free-Form Image Inpainting with Gated Convolutions in pytorch lightning. Inspired from pytorch implementation by @avalonstrel.
Stars: β 13 (-97.66%)
BrainMaGeBrain extraction in presence of abnormalities, using single and multiple MRI modalities
Stars: β 23 (-95.86%)
skillful nowcastingImplementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954
Stars: β 117 (-78.92%)
Transformer-QG-on-SQuADImplement Question Generator with SOTA pre-trained Language Models (RoBERTa, BERT, GPT, BART, T5, etc.)
Stars: β 28 (-94.95%)
VideoTransformer-pytorchPyTorch implementation of a collections of scalable Video Transformer Benchmarks.
Stars: β 159 (-71.35%)
ConSSLPyTorch Implementation of SOTA SSL methods
Stars: β 61 (-89.01%)
hififaceUnofficial PyTorch Implementation for HifiFace (https://arxiv.org/abs/2106.09965)
Stars: β 227 (-59.1%)
Fast-AgingGANA deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs
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hydra-zenPythonic functions for creating and enhancing Hydra applications
Stars: β 165 (-70.27%)
pl-dreamerSimplistic Pytorch Implementation of the Dreamer-RL
Stars: β 19 (-96.58%)
icedataIceData: Datasets Hub for the *IceVision* Framework
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slpUtils and modules for Speech Language and Multimodal processing using pytorch and pytorch lightning
Stars: β 17 (-96.94%)
disent𧢠Modular VAE disentanglement framework for python built with PyTorch Lightning ⸠Including metrics and datasets ⸠With strongly supervised, weakly supervised and unsupervised methods ⸠Easily configured and run with Hydra config ⸠Inspired by disentanglement_lib
Stars: β 41 (-92.61%)
rideTraining wheels, side rails, and helicopter parent for your Deep Learning projects in Pytorch
Stars: β 18 (-96.76%)
gestopA tool to navigate the desktop with hand gestures. Builds on mediapipe.
Stars: β 20 (-96.4%)
pytorch tempestMy repo for training neural nets using pytorch-lightning and hydra
Stars: β 124 (-77.66%)
classyclassy is a simple-to-use library for building high-performance Machine Learning models in NLP.
Stars: β 61 (-89.01%)
DOLG-pytorchUnofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"
Stars: β 69 (-87.57%)
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 (-84.5%)
lightning-asrModular and extensible speech recognition library leveraging pytorch-lightning and hydra.
Stars: β 36 (-93.51%)
uetaiCustom ML tracking experiment and debugging tools.
Stars: β 17 (-96.94%)
Neural-HMMNeural HMMs are all you need (for high-quality attention-free TTS)
Stars: β 69 (-87.57%)
fastfaceLight Face Detection using PyTorch Lightning
Stars: β 71 (-87.21%)
embeddings-for-treesSet of PyTorch modules for developing and evaluating different algorithms for embedding trees.
Stars: β 19 (-96.58%)
MVSNet plMVSNet: Depth Inference for Unstructured Multi-view Stereo using pytorch-lightning
Stars: β 49 (-91.17%)
pytorch multi input exampleMulti-Input Deep Neural Networks with PyTorch-Lightning - Combine Image and Tabular Data
Stars: β 40 (-92.79%)
quickvisionAn Easy To Use PyTorch Computer Vision Library
Stars: β 49 (-91.17%)
bert-squeezeπ οΈ Tools for Transformers compression using PyTorch Lightning β‘
Stars: β 56 (-89.91%)
lightning-transformersFlexible components pairing π€ Transformers with Pytorch Lightning
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weaselWeakly Supervised End-to-End Learning (NeurIPS 2021)
Stars: β 117 (-78.92%)
labmlπ Monitor deep learning model training and hardware usage from your mobile phone π±
Stars: β 1,213 (+118.56%)
map-floodwater-satellite-imageryThis repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.
Stars: β 21 (-96.22%)
AutoTabularAutomatic machine learning for tabular data. β‘π₯β‘
Stars: β 51 (-90.81%)
uvadlc notebooksRepository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022
Stars: β 901 (+62.34%)