Stars
This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.
Official implementation of our ICML 2023 paper "LinSATNet: The Positive Linear Satisfiability Neural Networks".
《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。
This repo is for me to record wireless communication notes. https://boyin.pro/wica-notes/
Tensors and Dynamic neural networks in Python with strong GPU acceleration
This repository contains the slides (in Powerpoint and PDF formats) for the course Multiple Antenna Communications, used 2021. Video recordings of all the slides (with voice over by Emil Björnson) …
Hydra is a framework for elegantly configuring complex applications
Open Source Reconfigurable Intellgient Surface (RIS) for the frequency range of 5 GHz WiFi
Open3D: A Modern Library for 3D Data Processing
Implementation of the "PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences" paper.
来自一位 Pythonista 的编程经验分享，内容涵盖编码技巧、最佳实践与思维模式等方面。
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
NumPy aware dynamic Python compiler using LLVM
PyTorch Tutorial for Deep Learning Researchers
An opinionated list of awesome Python frameworks, libraries, software and resources.
⭐Github Ranking⭐ Github stars and forks ranking list. Github Top100 stars list of different languages. Automatically update daily. | Github仓库排名，每日自动更新
This repository contains the source codes for the paper ``Weighted Sum-Rate Maximization for Reconfigurable Intelligent Surface Aided Wireless Networks'' in IEEE Transactions on Wireless Communicat…
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
Pytorch Lightning code guideline for conferences
A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!
This is the notes of the way of machine learning study. You may find something useful in it.