AngeloUNIMI

AngeloUNIMI's Stars

• ultralytics/yolov3

  YOLOv3 in PyTorch > ONNX > CoreML > TFLite

  Language:Python10.2k1561.8k3.4k

• KupynOrest/DeblurGAN

  Image Deblurring using Generative Adversarial Networks

  Language:Python2.5k61223517

• vladmandic/human

  Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition

  Language:HTML2.4k44282323

• Y-Vladimir/SmartDeblur

  Restoration of defocused and blurred photos/images

  Language:C++2.3k21913376

• Hzzone/pytorch-openpose

  pytorch implementation of openpose including Hand and Body Pose Estimation.

  Language:Jupyter Notebook2.1k2578399

• Guang000/Awesome-Dataset-Distillation

  A curated list of awesome papers on dataset distillation and related applications.

  Language:HTML1.4k3013132

• aitorzip/PyTorch-CycleGAN

  A clean and readable Pytorch implementation of CycleGAN

  Language:Python1.2k1241288

• ssnl/dataset-distillation

  Open-source code for paper "Dataset Distillation"

  Language:Python7772157115

• higgsfield/Capsule-Network-Tutorial

  Pytorch easy-to-follow Capsule Network tutorial

  Language:Jupyter Notebook7671312135

• JunjH/Revisiting_Single_Depth_Estimation

  official implementation of "Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries"

  Language:Python376102792

• magic-research/Dataset_Quantization

  [ICCV2023] Dataset Quantization

  Language:Python25271419

• mikel-brostrom/Yolov3_DeepSort_Pytorch

  Real-time multi-person tracker using YOLO v3 and deep sort

  Language:Python16741045

• IssamLaradji/M-ADDA

  Domain Adaptation Based on the Triplet Loss

  Language:Python11310727

• gatsby2016/Augmentation-PyTorch-Transforms

  Image data augmentation on-the-fly by add new class on transforms in PyTorch and torchvision.

  Language:Python1051125

• NUS-HPC-AI-Lab/DATM

  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching

  Language:Python934137

• giannisnik/som

  Pytorch implementation of a Self-Organizing Map

  Language:Python892028

• Jeff-Zilence/Explain_Metric_Learning

  Code for paper: "Visual Explanation for Deep Metric Learning"

  Language:Python732114

• zxaoyou/segmentation_WBC

  White blood cell (WBC) image datasets

  630227

• AtlasAnalyticsLab/Vim4Path

  Self-Supervised Vision Mamba for Histopathology Images [CVPR2024]

  Language:Jupyter Notebook36143

• TakaraResearch/Pytorch-1D-Wasserstein-Statistical-Loss

  1D Wasserstein Statistical Loss in Pytorch

  Language:Python24015

• apple2373/wbcatt

  WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes (NeurIPS 2023)

  Language:Python16201

• mahdihosseini/KMCL

  Kernel based Multilabel Contrastive Learning

  Language:Python9212

• hongvin/Neural-Network-Architectures-in-LaTeX

  Some common neural network architecture in LaTeX.

  Language:TeX7100

• bilalltf/Segmentation-of-White-Blood-Cells-using-Image-Processing-techniques

  Language:MATLAB50

• lhvogado/Recent-Computational-Methods-for-White-Blood-Cell-Nuclei-Segmentation-A-Comparative-Study

  This repository contains implementations from methods evaluated in Recent Computational Methods for White Blood Cell Nuclei Segmentation A Comparative Study.

  Language:C5301

• AngeloUNIMI/ALL-IDB-Patches

  Source code for the 2023 ICASSP paper "ALL-IDB Patches: Whole slide imaging for Acute Lymphoblastic Leukemia detection using Deep Learning"

  Language:MATLAB310

• AngeloUNIMI/DL4ALL

  Source code for the 2023 IEEE Access paper "DL4ALL: Multi-task cross-dataset transfer learning for Acute Lymphoblastic Leukemia detection"

  Language:Python320

• Habboista/FaceChaser

  An university project developed with Nicolò Agostara

  3

• giolaf97/Segmentazione-guida-autonoma

  Implementazione in PyTorch della segmentazione semantica e di tecniche di ottimizzazione per la guida autonoma

  Language:Jupyter Notebook11

• NimaVahdat/Leukemia-Cells-Segmentation

  The Leukemia Cells Segmentation project utilizes Genetic and Simulated Annealing algorithms to enhance medical image analysis. Precisely identifying and recoloring common colors in leukemia cell images.

  Language:Python120