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
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
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.
tensortrade
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
awesome-knowledge-graph
整理知识图谱相关学习资料
pytorch-forecasting
Time series forecasting with PyTorch
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
hugging-llm
HuggingLLM, Hugging Future.
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
FaceMaskDetection
开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
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
corex_topic
Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx
ncnn_example
ncnn example: mask detection: anticonv face detection: retinaface&&mtcnn&¢erface, track: iou tracking, landmark: zqcnn, recognize: mobilefacenet classifier: mobilenet object detecter: mobilenetssd
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.
m5-accuracy-competition
My second place solution in the M5 Accuracy competition
Mask-Classifier
Detecting/classifying masked faces in real-time
analytics-zoo
Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray