tdg2088

v2rayN

A GUI client for Windows, support Xray core and v2fly core and others

open-interpreter

A natural language interface for computers

FinRL

FinRL: Financial Reinforcement Learning. 🔥

organicmaps

🍃 Organic Maps is a free Android & iOS offline maps app for travelers, tourists, hikers, and cyclists. It uses crowd-sourced OpenStreetMap data and is developed with love by MapsWithMe (MapsMe) founders and our community. No ads, no tracking, no data collection, no crapware. Please donate to support the development!

chatgpt-advanced

WebChatGPT: A browser extension that augments your ChatGPT prompts with web results.

gluonts

Probabilistic time series modeling in Python

vgpu_unlock

Unlock vGPU functionality for consumer grade GPUs.

ElegantRL

Massively Parallel Deep Reinforcement Learning. 🔥

RL-Stock

📈 如何用深度强化学习自动炒股

AMD_Vanilla

Native AMD macOS via OpenCore

jellyfin-plugin-metatube

MetaTube Plugin for Jellyfin/Emby

Financial-Knowledge-Graphs

小型金融知识图谱构建流程（neo4j / python / cypher / KG）

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

Synology_Photos_Face_Patch

Synology Photos Facial Recognition Patch

stock_market

Temporal_Relational_Stock_Ranking

Code for paper "Temporal Relational Ranking for Stock Prediction"

xxqg

学习强国 xxqg 无人值守自动看视频、看文章、自动答题（每日答题、每周答题、专项答题），45分/天

sequence_tagging

using bilstm-crf,bert and other methods to do sequence tagging task

da-rnn

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

talib-build

Build TA-Lib wheels for Windows

Bearing-fault-detection

轴承故障检测 训练赛第30名代码

intel-gpu-firmware

Time-series-forecasting-via-deep-reinforcement-learning

Time series forecasting via deep reinforcement learning

MHCCL

MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)

Reinforced-Stock-Trading

Using Reinforcement Learning on S&P500 dataset to predict the future stock prices. The implementation uses deep Q-learning model along with time series modeling to achieve the goal state.

SLK-NER

Source code for SEKE 2020 paper "SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NER"

lede

Lean's OpenWrt source

tslearn

A machine learning toolkit dedicated to time-series data