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cwinjet's Projects

adv_ecg icon adv_ecg

Code for Adversarial Examples in Electrocardiograms

albumentations icon albumentations

fast image augmentation library and easy to use wrapper around other libraries

analytics_vidhya icon analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

andserver icon andserver

:cherries: Web server and web framework of Android platform.

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

applinalgcode icon applinalgcode

Code for the book "Linear algebra, signal processing, and wavelets. A unified approach"

asl icon asl

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

attentiondeepmil icon attentiondeepmil

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

automatic-ecg-diagnosis icon automatic-ecg-diagnosis

Scripts and modules for training and testing neural network for ECG automatic classification. Companion code to the paper "Automatic diagnosis of the 12-lead ECG using a deep neural network".

autopool icon autopool

Adaptive pooling operators for multiple instance learning

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

cvt icon cvt

This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

d2l-keras icon d2l-keras

d2l-ai tensorflow keras implementation (updating chapter 10 ...)

d2l-pytorch icon d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

darknet icon darknet

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

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