Sophia-Huang's starred repositories

openai-cookbook

Examples and guides for using the OpenAI API

ColossalAI

Making large AI models cheaper, faster and more accessible

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Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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darts

A python library for user-friendly forecasting and anomaly detection on time series.

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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.

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tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

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gluonts

Probabilistic time series modeling in Python

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pytorch-forecasting

Time series forecasting with PyTorch

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introRL

Intro to Reinforcement Learning (强化学习纲要)

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

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hugging-llm

HuggingLLM, Hugging Future.

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deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

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FaceMaskDetection

开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.

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Real-World-Masked-Face-Dataset

Real-World Masked Face Dataset,口罩人脸数据集

NeuralNLP-NeuralClassifier

An Open-source Neural Hierarchical Multi-label Text Classification Toolkit

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corex_topic

Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

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ncnn_example

ncnn example: mask detection: anticonv face detection: retinaface&&mtcnn&&centerface, track: iou tracking, landmark: zqcnn, recognize: mobilefacenet classifier: mobilenet object detecter: mobilenetssd

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Deep-Reinforcement-Learning-in-Stock-Trading

Using deep actor-critic model to learn best strategies in pair trading

trading-rl

Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019

Deep-Reinforcement-Learning-in-Trading

This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated and historical market data. This was inspired by OpenAI Gym framework.

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Deep4Cast

Probabilistic Multivariate Time Series Forecast using Deep Learning

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m5-accuracy-competition

My second place solution in the M5 Accuracy competition

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HyperIM

PyTorch implementation of the paper "Hyperbolic Interaction Model For Hierarchical Multi-Label Classification"

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Mask-Classifier

Detecting/classifying masked faces in real-time

LC-KSVD

Implementation of the Label consistent KSVD algorithm proposed by Zhuolin Jiang, Zhe Lin and Larry S. Davis.

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R3K_KBQA

一个基于模板的三国演义KBQA系统,能够简单的回答给定模板的问题。本项目完成了从建立知识库、处理数据生成三元组到搭建问答系统(命令行和图形化)的一系列过程。此外,KBQA系统还具有一定的异常处理的功能设计。

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analytics-zoo

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

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