tieguanyin803's Stars
marmotlab/SCRIMP
offical code of paper 'SCRIMP: Scalable Communication for Reinforcement- and Imitation-Learning-Based Multi-Agent Pathfinding'
gefleury/datascientest_anomalous_sounds
Anomalous sound detection with machine learning and deep learning
BBuf/how-to-learn-deep-learning-framework
how to learn PyTorch and OneFlow
BBuf/how-to-optim-algorithm-in-cuda
how to optimize some algorithm in cuda.
BBuf/tvm_mlir_learn
compiler learning resources collect.
guyuehome/guyueclass
古月学院课程代码
Skylark0924/Reinforcement-Learning-in-Robotics
This is a private learning repository for reinforcement learning techniques used in robotics.
choushunn/awesome-RK3588
Useful resources for developing with the RK3588. :rocket:
Mintplex-Labs/anything-llm
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
DepthAnything/Depth-Anything-V2
Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
wdndev/llama3-from-scratch-zh
从零实现一个 llama3 中文版
naklecha/llama3-from-scratch
llama3 implementation one matrix multiplication at a time
OpenGVLab/InternVL
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
datawhalechina/self-llm
《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合**宝宝的部署教程
user-wu/Chinese-Llama3-Quick-Start
中文llama3大模型快速上手,通用中文语言大模型finetune教程,基于Meta-llama3实现。
Honlan/Python-Basic
awslabs/gluonts
Probabilistic time series modeling in Python
time-series-foundation-models/lag-llama
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
facebookresearch/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
thuml/Time-Series-Library
A Library for Advanced Deep Time Series Models.
Lzeey/time-series-anomaly
Anomaly detection on time series using Deep Learning techniques
PaddlePaddle/PaddleTS
Awesome Easy-to-Use Deep Time Series Modeling based on PaddlePaddle, including comprehensive functionality modules like TSDataset, Analysis, Transform, Models, AutoTS, and Ensemble, etc., supporting versatile tasks like time series forecasting, representation learning, and anomaly detection, etc., featured with quick tracking of SOTA deep models.
ditschuk/pytorch-tsmixer
A pip-installable PyTorch implementation of TSMixer, providing an easy-to-use and efficient solution for time-series forecasting.
mims-harvard/UniTS
A unified multi-task time series model.
IkeYang/ViTime
The official repository of paper "ViTime: A Visual Intelligence-based Foundation Model for Time Series Forecasting"
unit8co/darts
A python library for user-friendly forecasting and anomaly detection on time series.
SaberaTalukder/TOTEM
The official code 👩💻 for - TOTEM: TOkenized Time Series EMbeddings for General Time Series Analysis
amazon-science/chronos-forecasting
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
romilbert/samformer
Official implementation of SAMformer, a transformer leveraging Sharpness-Aware Minimization and Channel-Wise Attention for Time Series Forecasting.
lucidrains/iTransformer
Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group