danifranco

danifranco's Stars

• segment-anything-models-java/SAMJ-IJ

  An ImageJ/Fiji plugin designed to effortlessly integrate Segment-Anything models (SAMs) without code.

  Language:Java485

• bioimage-io/bioimage.io

  Website for the BioImage Model zoo -- a model zoo for bioimage analysis.

  Language:CSS5419

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python82.7k22.3k

• kyegomez/BitNet

  Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch

  Language:Python1.6k144

• evildmp/diataxis-documentation-framework

  A systematic approach to creating better documentation.

  Language:HTML858159

• BiaPyX/BiaPyX.github.io

  BiaPy landing page

  Language:SCSS2

• BiaPyX/BiaPy-GUI

  BiaPy GUI

  Language:Python6

• BiaPyX/BiaPy-doc

  BiaPy's project documentation

  Language:TeX23

• BiaPyX/BiaPy

  Open source Python library for building bioimage analysis pipelines

  Language:Jupyter Notebook12328

• BiaPyX/BiaPy-bioimage-io

  BiaPy's BMZ connection

  32

• bioimage-io/collection-bioimage-io

  (deprecated in favor of bioimage-io/collection) RDF collection for BioImage.IO

  Language:Python59

• haesleinhuepf/stackview

  Interactive image stack viewing in jupyter notebooks based on ipycanvas and ipywidgets

  Language:Python1309

• keyu-tian/SparK

  [ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

  Language:Python1.4k83

• EdisonLeeeee/Awesome-Masked-Autoencoders

  A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

  76753

• jbhuang0604/awesome-tips

  3.4k190

• XingangPan/DragGAN

  Official Code for DragGAN (SIGGRAPH 2023)

  Language:Python35.7k3.4k

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook47k5.6k

• yingkaisha/keras-unet-collection

  The Tensorflow, Keras implementation of U-net, V-net, U-net++, UNET 3+, Attention U-net, R2U-net, ResUnet-a, U^2-Net, TransUNET, and Swin-UNET with optional ImageNet-trained backbones.

  Language:Python654182

• ivy-llc/ivy

  Convert Machine Learning Code Between Frameworks

  Language:Python14k5.8k

• JunMa11/SegWithDistMap

  How Distance Transform Maps Boost Segmentation CNNs: An Empirical Study

  Language:Python37767

• seung-lab/fill_voids

  Fill holes in binary 2D & 3D images fast.

  Language:C++164

• danifranco/TIMISE

  Toolbox for Identifying Mitochondria Instance Segmentation Errors

  Language:Python4

• MedMNIST/MedMNIST

  [pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

  Language:Python1.1k163

• juglab/n2v

  This is the implementation of Noise2Void training.

  Language:Python394108

• open-mmlab/mmsegmentation

  OpenMMLab Semantic Segmentation Toolbox and Benchmark.

  Language:Python8k2.6k

• pengzhiliang/MAE-pytorch

  Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

  Language:Python2.6k342

• d2l-ai/d2l-en

  Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

  Language:Python23.3k4.3k

• xu-ji/IIC

  Invariant Information Clustering for Unsupervised Image Classification and Segmentation

  Language:Python863207

• emeryberger/CSrankings

  A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

  Language:Python2.7k3.2k

• ramitsurana/awesome-kubernetes

  A curated list for awesome kubernetes sources :ship::tada:

  Language:Shell15k2.3k