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aialpha

Use unsupervised and supervised learning to predict stocks

c-1x_test

coco_dataset_utils

Notebooks and more to help you get started. Including the PyLabeler Jupyter based labeling tool.

colab_devcloud_openvino_samples

這裡分享一些可以從Google Colab或者Intel DevCloud上執行的OpenVINO範例。

convert2yolo

This project purpose is convert voc annotation xml file to yolo-darknet training file format

convert_yolo_weights

Summary of methods to convert models in Yolo-v4-v3-v2

cs231n.github.io

Public facing notes page

deep-portfolio-management

Source code for the blog post on the evolution of the asset allocation methods

deep-reinforcement-learning-for-automated-stock-trading-ensemble-strategy-icaif-2020

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy. ICAIF 2020.

deep-rl-for-portfolio-optimization

Deep Reinforcement Learning for Portfolio Optimization

delafo-deep-learning-approach-for-portfolio-optimization

deltapy

DeltaPy - Tabular Data Augmentation (by @firmai)

design-patterns-cpp

C++ Design Patterns

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

finance_and_covid_tracking_dashboard

finbert

Financial Sentiment Analysis with BERT

fx_forecasting_model

Foreign Exchange Forecasting Model created for the paper "Can Interest Rate Factors Explain Rate Fluctuations?"

hgboost

hgboost is a python package for hyper-parameter optimization for xgboost, catboost or lightboost using cross-validation, and evaluating the results on an independent validation set. hgboost can be applied for classification and regression tasks.

hybridnets

HybridNets: End-to-End Perception Network

kapao

KAPAO is a state-of-the-art single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.

keras-yolov3-model-set

end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies

lstnet

A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper

machine-learning-for-finance

Machine Learning for finance and investment introduction

machinelearningstocks

Using python and scikit-learn to make stock predictions

mirnet-tflite-trt

TensorFlow Lite models for MIRNet for low-light image enhancement.

mtss-gan

MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)

pair-trading-reinforcement-learning

An Structural Application of Reinforcement Learning in Pair Trading

personae

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

pgportfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

pyportfolioopt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity