atangfan's repositories
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.
feature-selector
Feature selector is a tool for dimensionality reduction of machine learning datasets
FX_forecasting_model
Foreign Exchange Forecasting Model created for the paper "Can Interest Rate Factors Explain Rate Fluctuations?"
HybridNets
HybridNets: End-to-End Perception Network
keras-YOLOv3-model-set
end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies
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)
PyPortfolioOpt
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
pytorch-YOLOv4
PyTorch ,ONNX and TensorRT implementation of YOLOv4
QuantumForest
Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
smart-beta-portfolio-optimization
Built a smart beta portfolio and compared it to a benchmark index by calculating the tracking error. Built a portfolio using quadratic programming to optimize the weights..
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Stock-Prediction-Portfolio-Optimization
A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models on multiple stocks to generate Buy/Sell signals. This is a WIP and I will keep on adding new ideas to this in future.
systemd-tiger-vnc-server
This is a whole tutorial to install Xfce desktop environment, TigerVNC and set this as a background service on Ubuntu 18.04
ta
Technical Analysis Library using Pandas and Numpy
tensorflow-yolov4-tflite
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
Time-series-prediction
A collection of time series prediction methods: rnn, seq2seq, cnn, wavenet, transformer, unet, n-beats, gan, kalman-filter
Yolo-V5_Object_Detection_Blood_Cell_Count_and_Detection
In this repo, I've trained an object detection model to find the number of RBC, WBC, PLATELETS Count from the microscopic blood-smeared images.
YOLOv5-tf
YOLOv5 implementation using TensorFlow 2