Matplotlib styles for scientific plotting

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…

Handy PyTorch implementation of Federated Learning (for your painless research)

95.47% on CIFAR10 with PyTorch

A collection of awesome LaTeX Thesis/Dissertation templates and beyond! （LaTeX / Word / Typst / Markdown 格式的学位论文、演示文稿、报告、项目申请书、简历、书籍等模板收藏）

beamer template collection

A collection of LaTeX templates used for research, courses, and miscellanea.

RFID Attendance system basic frontend script for our RFID attendance system tutorial.

这是基于树莓派的人脸识别打卡系统，内部调用了百度智能云的人脸识别接口，用qt和python做的，数据库用了MySQL。打开signsystem.exe即打开qt界面，摄像头画面由树莓派调用

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

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

Tensorflow implementation of SICNet: a deep learning-based successive interference cancellation (SIC) receiver for non-orthogonal downlink systems

Code for Universal Rate-Distortion-Perception Representations for Lossy Compression

Neural Joint-Source Channel Coding

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

jpeg 压缩编码过程详解

JPEG encoder/decoder written in Python

Creation of LDPC codes & simulation of coding and decoding binary data. Applications to sound and image files.

Caffe: a fast open framework for deep learning.

Feature Pyramid Network based on VGG16 and ResNet101

Base jwyang/fpn.pytorch, train FPN on Pascal VOC get 80.5 mAP

Pytorch implementation of Feature Pyramid Network (FPN) for Object Detection

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"

This repo will contain simple tutorials for getting familiar with Pytorch quickly for beginners.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Tools to Design or Visualize Architecture of Neural Network

👋 ML/DL学习笔记（基础+论文）