snavalm

snavalm's Stars

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook36.6k385673.8k

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python31.3k3099024.7k

• microsoft/unilm

  Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

  Language:Python19.4k2991.3k2.5k

• openai/DALL-E

  PyTorch package for the discrete VAE used for DALL·E.

  Language:Python10.8k230891.9k

• AntixK/PyTorch-VAE

  A Collection of Variational Autoencoders (VAE) in PyTorch.

  Language:Python6.4k44841k

• CompVis/taming-transformers

  Taming Transformers for High-Resolution Image Synthesis

  Language:Jupyter Notebook5.7k762171.1k

• lucidrains/DALLE-pytorch

  Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

  Language:Python5.5k97276643

• MIC-DKFZ/nnUNet

  Language:Python5.5k762k1.7k

• yanx27/Pointnet_Pointnet2_pytorch

  PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

  Language:Python3.5k18260872

• mseitzer/pytorch-fid

  Compute FID scores with PyTorch.

  Language:Python3.3k1585498

• fepegar/torchio

  Medical imaging toolkit for deep learning

  Language:Python2k18454238

• Project-MONAI/tutorials

  MONAI Tutorials

  Language:Jupyter Notebook1.8k34626664

• rosinality/vq-vae-2-pytorch

  Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

  Language:Python1.6k2077271

• vturrisi/solo-learn

  solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

  Language:Python1.4k11160182

• arpitbansal297/Cold-Diffusion-Models

  Official implementation of Cold-Diffusion for different transformations in pytorch.

  Language:Python993171679

• facebookresearch/xcit

  Official code Cross-Covariance Image Transformer (XCiT)

  Language:Python655172948

• google-research/maskgit

  Official Jax Implementation of MaskGIT

  Language:Jupyter Notebook424171249

• MIC-DKFZ/MedNeXt

  [MICCAI 2023] MedNeXt is a fully ConvNeXt architecture for 3D medical image segmentation.

  Language:Python31492824

• fastai/timmdocs

  Documentation for Ross Wightman's timm image model library

  Language:Jupyter Notebook28163721

• lxtGH/CAE

  This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

  Language:Python18951622

• AmigoLab/SynthAnatomy

  VQ-VAE + Transformer based synthesis of 3D anatomical imaging data

  Language:Python571536

• hmsch/natural-synthetic-anomalies

  Code for ECCV 2022 paper "Natural Synthetic Anomalies for Self-Supervised Anomaly Detection and Localization".

  Language:Jupyter Notebook48256

• matt-baugh/pytorch-poisson-image-editing

  Fast Python implementations of Poisson image editing, using Pytorch and NumPy.

  Language:Python34462

• pakheiyeung/PlaneInVol

  A network, trained with just registered volumes, to predict the 3D location of 2D freehand ultrasound fetal brain images and video

  Language:Python31146

• rachellea/ct-net-models

  Machine learning models for multi-organ, multi-disease prediction in chest CT volumes. From paper Draelos et al. "Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography Volumes."

  Language:Python23115

• iolag/UPD_study

  This repository contains code from our comparative study on state of the art unsupervised pathology detection and segmentation methods.

  Language:Python22236

• muschellij2/open_ms_data

  Open MS Data

  Language:R19313

• jemtan/FPI

  Code for FPI submission to MOOD 2020

  Language:Jupyter Notebook163

• acasamitjana/SynthByReg

  Language:Python83

• FeliMe/autoseg

  Language:Python5102