sunnyangazy's Stars
angeloschatzimparmpas/HardVis
HardVis: Visual Analytics to Handle Instance Hardness Using Undersampling and Oversampling Techniques
wanghuanliang/DPVisCreator
PAIR-code/interpretability
PAIR.withgoogle.com and friend's work on interpretability methods
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
vanderschaarlab/TIMEVIEW
f/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
locuslab/TCN
Sequence modeling benchmarks and temporal convolutional networks
philipperemy/keras-tcn
Keras Temporal Convolutional Network.
lkiko/famCircle
blacksnail789521/TimeDRL
Official repository for TimeDRL: Disentangled Representation Learning for Multivariate Time-Series, accepted at ICDE 2024.
Phalanstere/TimeCluster
clusters objects into timeframes
Theo-Jaunet/VisQA
Online visual analytics tool designed to investigate how attention maps in transformer models behaves, and build hypothesis on those models bias exploitation.
OpenLMLab/MOSS-RLHF
Secrets of RLHF in Large Language Models Part I: PPO
zhykoties/TimeSeries
Implementation of deep learning models for time series in PyTorch.
Yanyutin753/shop-task-forlovers
为女朋友写的,情侣网站或朋友们自己的任务和商城网站,部署简单,用vu3和springBoot部署,同时支持白嫖,学生部署全程免费
CatherineHao/TimeTuner
hagiss/SDSSL
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
qianlima-lab/time-series-ptms
This is an official implementation code for paper "A Survey on Time-Series Pre-Trained Models" (TKDE-24).
moraieu/query-selector
LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION
Wickstrom/MixupContrastiveLearning
Code for mixup contrastive learning
jjbouza/nn-activation-landscapes
tda-nn is a package and set of experiments for analyzing neural networks using TDA, particularly Persistence Landscapes.
Ma-Lab-Berkeley/CRATE
Code for CRATE (Coding RAte reduction TransformEr).
Nixtla/nixtla
TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.
zhaoolee/garss
Github Actions采集RSS, 打造无广告内容优质的头版头条超赞宝藏页
petroniocandido/ts_lsh
Locally Sensitive Hashing based embedding for High Dimensional Multivariate Time Series
rougier/scientific-visualization-book
An open access book on scientific visualization using python and matplotlib
rougier/matplotlib-cheatsheet
Matplotlib 3.1 cheat sheet.
Yanjun-Zhao/GCformer
thuml/iTransformer
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah