Elias Ramzi's starred repositories

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:PythonLicense:Apache-2.0Stargazers:30878Issues:314Issues:892

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Language:Jupyter NotebookLicense:MITStargazers:23797Issues:317Issues:388

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Language:PythonLicense:MITStargazers:5883Issues:63Issues:495

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

Language:PythonLicense:MITStargazers:1719Issues:25Issues:82

cnnimageretrieval-pytorch

CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

Language:PythonLicense:MITStargazers:1412Issues:33Issues:76

DoYouEvenLearn

Essential Guide to keep up with AI/ML/DL/CV

License:CC0-1.0Stargazers:1028Issues:73Issues:0

google-landmark

Dataset with 5 million images depicting human-made and natural landmarks spanning 200 thousand classes.

deep-image-retrieval

End-to-end learning of deep visual representations for image retrieval

Language:PythonLicense:BSD-3-ClauseStargazers:627Issues:25Issues:38

Landmark2019-1st-and-3rd-Place-Solution

The 1st Place Solution of the Google Landmark 2019 Retrieval Challenge and the 3rd Place Solution of the Recognition Challenge.

Language:PythonLicense:Apache-2.0Stargazers:437Issues:7Issues:13

PyTorch-Image-Retrieval

A PyTorch framework for an image retrieval task including implementation of N-pair Loss (NIPS 2016) and Angular Loss (ICCV 2017).

Language:PythonLicense:MITStargazers:274Issues:9Issues:11

revisitop

Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking

Smooth_AP

code for the ECCV '20 paper "Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval"

Language:PythonLicense:MITStargazers:198Issues:11Issues:26

logo-gen

Accompanying code for the paper "Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks"

Language:PythonLicense:MITStargazers:86Issues:4Issues:22
Language:PythonLicense:BSD-3-Clause-ClearStargazers:71Issues:6Issues:4

understanding-unets

Learnlets repository

Language:Jupyter NotebookStargazers:8Issues:2Issues:22

local-machine-setup

Repo to keep my setups on different local instances. Inspired by: https://github.com/joejuzl/dotfiles