A python WebRTC remote control library

This code accompanies the the paper Slow Momentum with Fast Reversion: A Trading Strategy Using Deep Learning and Changepoint Detection (https://arxiv.org/pdf/2105.13727.pdf).

This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).

Open code for PriceGraph

This is the GitHub repository for our publication "A new attention mechanism to classify multivariate time series", by Yifan Hao and Huiping Cao, which has been accepted to be published in IJCAI 20…

Implementation of Force2Vec method for ICDM 2020 paper titled "Force2Vec: Parallel force-directed graph embedding"

Mostly experiments based on "Advances in financial machine learning" book

A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance, NeurIPS 2020 DRL workshop.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Data science project with the goal of deploying a profitable market trading algorithm on the real stock and/or FOREX market with real money to generate passive income.

This project is a loose implementation of paper "Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach"

Evolutionary NAS with cellular encoding of gene expression programming

Track an object as it moves in a video with no training

end-to-end YOLOv3/v2 object detection pipeline, implemented on tf.keras with different technologies

Push the Extreme of the pose estimation

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing

Pytorch implementation of yolo_Nano for pedestrian detection

YOLO Nano implementation with Pytorch

An unofficial pytorch implementation of YOLO Nano

A set of tool which would make your life easier with Tensorrt and Onnxruntime. This Repo is designed for YoloV3

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

Higher-Resolution Networks (HigherHRNets) for Human Pose Estimation

Object detection, 3D detection, and pose estimation using center point detection:

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Multi-person Human Pose Estimation with HRNet in Pytorch

OneEuroFilter plugin for Unreal Engine 4