mpl24's Stars
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.
Lightning-AI/pytorch-lightning
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
pytest-dev/pytest
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
jessevig/bertviz
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
facebookresearch/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
facebookresearch/DiT
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
pytorch-labs/gpt-fast
Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.
facebookresearch/deit
Official DeiT repository
bowang-lab/MedSAM
Segment Anything in Medical Images
benedekrozemberczki/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
gordicaleksa/pytorch-GAT
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
facebookresearch/moco-v3
PyTorch implementation of MoCo v3 https//arxiv.org/abs/2104.02057
facebookresearch/simsiam
PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566
stardist/stardist
StarDist - Object Detection with Star-convex Shapes
dome272/Paella
Official Implementation of Paella https://arxiv.org/abs/2211.07292v2
MishaLaskin/vqvae
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
SpaceLearner/Awesome-DynamicGraphLearning
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
vqdang/hover_net
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
LTH14/mage
A PyTorch implementation of MAGE: MAsked Generative Encoder to Unify Representation Learning and Image Synthesis
mahmoodlab/HIPT
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
scverse/squidpy
Spatial Single Cell Analysis in Python
chaofengc/FeMaSR
PyTorch codes for "Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors", ACM MM2022 (Oral)
CellProfiler/python-bioformats
Read and write life sciences file formats
TissueImageAnalytics/CoNIC
CoNIC Challenge
picagrad/WaveNILM
WaveNILM as published at ICASSP 2019
nec-research/TKG-Forecasting-Evaluation
Evaluation of Methods for Temporal Knowledge Graph Forecasting
nauyan/NucleiSegmentation
The repository contains a simple pipeline for training Nuclei Segmentation Datasets of Histopathology Images.
michalkoziarski/DiagSet
DiagSet: a dataset for prostate cancer histopathological image classification
ucla-biostat-203b/2023winter
Course webpage for UCLA Biostat 203B (Intro. to Data Science)
saarangp/ece232project1