Starred repositories
Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration
Spectral Temporal Graph Neural Network (StemGNN in short) for Multivariate Time-series Forecasting
AniPortrait: Audio-Driven Synthesis of Photorealistic Portrait Animation
Official implementation of the paper "FilterNet: Harnessing Frequency Filters for Time Series Forecasting"
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
This repository contains the experimental code for the "Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load Forecasting" paper
Over 10 years of hourly energy consumption data from PJM in Megawatts
Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition
Codes for paper "Seamless and multi-resolution energy forecasting"
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.
Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
Wind Speed Prediction using LSTMs in PyTorch (https://arxiv.org/pdf/1707.08110.pdf)
用于机器学习的语音特征提取,包含FBank和MFCC等,原理讲解和step by step的实现
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
Mac OS X Screen Saver powered by a Web View
Metric Learning (npair loss & angular loss) on mnist and Visualizing by t_SNE
Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖:kaggle, 阿里天池,华为云大赛校园赛,百度aistudio,和鲸社区,datafountain等
Adversarial Training for Solving Inverse Problems
Official PyTorch implementation of Contrastive Learning of Musical Representations
Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
YASA (Yet Another Spindle Algorithm): a Python package to analyze polysomnographic sleep recordings.
DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG