blacksnail789521

blacksnail789521's Stars

• UConn-DSIS/Empowering-Time-Series-Analysis-with-LLM

  Official website for "Empowering Time Series Analysis with Large Language Models: A Survey"

  717

• google-research/timesfm

  TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

  Language:Python3.5k300

• lzz19980125/awesome-time-series-segmentation-papers

  This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.

  Language:MATLAB4126

• blacksnail789521/TimeDRL

  Official repository for TimeDRL: Disentangled Representation Learning for Multivariate Time-Series, accepted at ICDE 2024.

  Language:Python153

• lixin4ever/Conference-Acceptance-Rate

  Acceptance rates for the major AI conferences

  Language:Jupyter Notebook4.1k293

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python166k44.1k

• facebookresearch/segment-anything

  The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

  Language:Jupyter Notebook46.7k5.5k

• terryum/Data-Augmentation-For-Wearable-Sensor-Data

  A sample code of data augmentation methods for wearable sensor data (time-series data)

  Language:Jupyter Notebook38978

• JDMCreator/LaTeXTableEditor

  readme

  Language:JavaScript14113

• piccolomo/plotext

  plotting on terminal

  Language:Python1.7k80

• yuqinie98/PatchTST

  An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

  Language:Python1.5k260

• xingyu617/SimTS_Representation_Learning

  Language:Python459

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python53.8k5.6k

• XingangPan/DragGAN

  Official Code for DragGAN (SIGGRAPH 2023)

  Language:Python35.6k3.4k

• und3fined/medium-unlocker

  Read Medium content without limit!

  Language:JavaScript1.3k57

• zhihanyue/ts2vec

  A universal time series representation learning framework

  Language:Python588142

• mims-harvard/TFC-pretraining

  Self-supervised contrastive learning for time series via time-frequency consistency

  Language:Python42278

• meta-llama/llama

  Inference code for Llama models

  Language:Python55.5k9.5k

• qingsongedu/Awesome-SSL4TS

  A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).

  26218

• qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM

  A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

  87764

• deepcharles/ruptures

  ruptures: change point detection in Python

  Language:Python1.6k162

• ymcui/Chinese-LLaMA-Alpaca

  中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

  Language:Python18.2k1.9k

• ErdunGAO/MissDAG

  [NeurIPS22] MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models

  Language:Python7

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python36.2k5.7k

• gpt-engineer-org/gpt-engineer

  Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

  Language:Python52k6.8k

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python15.8k1.5k

• toinsson/pysdtw

  Torch implementation of Soft-DTW, supports CUDA.

  Language:Python312

• Maghoumi/pytorch-softdtw-cuda

  Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch

  Language:Python61458

• XuehaiPan/nvitop

  An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

  Language:Python4.6k144

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python6.3k1k