A fully automatic method based on Transformer for resolution of overlapping peaks in gas chromatography-mass spectrometry

A simple GUI designer for the python tkinter module

Deep neural network for the alignment of GC-MS peaks

functions for chromatography and mass spectrometry data analysis

通过 Jupyter Notebook 安装 GOST

OpenVPN road warrior installer for Ubuntu, Debian, AlmaLinux, Rocky Linux, CentOS and Fedora

NAS媒体库管理工具

Implementations of various 2D convex hull algorithms in C++

SwinIR: Image Restoration Using Swin Transformer (official repository)

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Official Implementation of Learning Diverse and Discriminative Representations via the Principle of Maximal Coding Rate Reduction (2020)

Collection of reproducible deep learning for compressive sensing

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

deep learning for image processing including classification and object-detection etc.

This project accepts excel files as input which contains the description of a Knowledge Graph (Vertexes and Edges) and convert it into an in-memory Graph Store. This project implements APIs to sear…

Simple CuDNN wrapper

Python library to compute knowledge graph embeddings

这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。

Automatically Generated Notebook for Sagemaker

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

中文版 v2 课程

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Code for Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

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