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[official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model", AISTATS 2023]
一个简洁优雅的词典翻译 macOS App。开箱即用，支持离线 OCR 识别，支持有道词典，🍎 苹果系统词典，🍎 苹果系统翻译，OpenAI，Gemini，DeepL，Google，Bing，腾讯，百度，阿里，小牛，彩云和火山翻译。A concise and elegant Dictionary and Translator macOS App for looking up words an…
XRF55: A Radio Frequency Dataset for Human Indoor Action Analysis
[ICML2023] InfoOT: Information Maximizing Optimal Transport
Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"
Official repository for the paper BECLR: Batch Enhanced Contrastive Unsupervised Few-Shot Learning
straight-tamago / TrollStore-tvOS
Forked from opa334/TrollStoreJailed iOS app that can install IPAs permanently with arbitary entitlements and root helpers because it trolls Apple
This is the official GitHub repo for "Deep Optimal Transport for Domain Adaptation on SPD Manifolds"
Media Fetch PRO is an application to download video of youtube, bilibili and more websites in future with metadata to jellyfin, emby, plex and more softwares in future.
A powerful open source live wallpaper app for mac
The sleekest looking WEBUI for qBittorrent made with Vuejs!
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting
Code for the paper: Anticipative Feature Fusion Transformer for Multi-Modal Action Anticipation.
Robust Equivariant Imaging (REI), CVPR'2022 Oral
TorchSig is an open-source signal processing machine learning toolkit based on the PyTorch data handling pipeline.
Pytorch code for the NeurIPS 2022 paper "Online Deep Equilibrium Learning for Regularization by Denoising"
用户在使用 Movie Bot 这款自动化工具时往往需要手动抓包获取 cookies，我开发了这款插件简化了这个流程。
BiliBili Client Demo for Apple TV (tvOS)
A curated list of image inpainting and video inpainting papers and resources
Official implementation of paper Gradient Matching for Domain Generalization
Dataset to assess the disentanglement properties of unsupervised learning methods