A mini-games with C++

A high-level toolbox for using complex valued neural networks in PyTorch

Pytorch implementation of various Knowledge Distillation (KD) methods.

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (p…

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

Codebase for Image Classification Research, written in PyTorch.

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

🛠 Toolbox to extend PyTorch functionalities

An implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

Python library for reading and writing image data

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

Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

Goal of this project is to implement perceptron,Dual perceptron,Linear Kernel and RBF kernel without using any Machine Learning Libraries

Basic soft-margin kernel SVM implementation in Python

Implementation of WACV2019 paper "Power Normalizing Second-order Similarity Network for Few-shot Learning"

Implementation of WACV2019 paper "Power Normalizing Second-order Similarity Network for Few-shot Learning"

Pytorch implementation of convolutional neural network visualization techniques