Audio generation using diffusion models, in PyTorch.

Instant neural graphics primitives: lightning fast NeRF and more

Multimodal-Procedural-Planning MPP

Publication-ready NN-architecture schematics.

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

Release for Improved Denoising Diffusion Probabilistic Models

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

基于 ChatGPT API 的划词翻译浏览器插件和跨平台桌面端应用 - Browser extension and cross-platform desktop application for translation based on ChatGPT API.

基于 ChatGPT API 的文本翻译、文本润色、语法纠错 Bob 插件，让我们一起迎接不需要巴别塔的新时代！

conditioned-diffusion-model from oai

MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers

中科院科研工作专用ChatGPT，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

EEG generation by VAE

Brain EEG signal data augmentation using synthetic signals generated by a single step diffusion probabilistic model.

A playbook for systematically maximizing the performance of deep learning models.

PyTorch implementation for SDEdit: Image Synthesis and Editing with Stochastic Differential Equations

Code for "Neural 3D Reconstruction in the Wild", SIGGRAPH 2022 (Conference Proceedings)

计算机自学指南

EEG Artifact Removal Using Deep Learning (source code, IEEE Journal of Biomedical and Health Informatics)

Deep learning model for EEG artifact removal

EEGdenoiseNet, a benchmark dataset, that is suited for training and testing deep learning-based EEG denoising models, as well as for comparing the performance across different models.

Implementation of FPTree-Growth and Apriori-Algorithm for finding frequent patterns in Transactional Database.

Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 lantern proxy vpn censorship-circumvention censorship gfw accelerator

LSTM-GAN for generate plausible ECG signals

Graphs for Everyone

清华大学计算机系考研攻略 Guidance for postgraduate entrance examination in Department of Computer Science and Technology, Tsinghua University