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Name: Ali
Type: User
Name: Ali
Type: User
Code implementation of “AutoCalib: Automatic Traffic Camera Calibration at Scale”
CCXT-based cross-exchange arbitrage bot operating on CEXs, entirely written in Python. Work without any transfer between exchanges.
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Estimating camera parameters like focal length, distortion coefficients and principal point automatically
Car Keypoint 3D Localization project provide methods for 3D car localization base on multi view cameras by 2D car detection and car wheel keypoints detection.
A Rust library for cryptocurrency trading and e-commerce with support for many bitcoin/ether/altcoin exchange markets and merchant APIs.
How to make profits in cryptocurrency trading with machine learning
Algorithmic trading with deep learning experiments
yolov2 ,yolov5 ,yolov6 ,yolov7 ,yolov7,yolovR ,yolovX on deepstream
trying state of the art detector in deepstream
object detection with deepstream
a code to calculate speed of vehicles while both sides are moving
Epistemic neural network
Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.
Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)
Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering
developing a detector using onnxruntime in jetson nano
Source code for paper Toward Planet-Wide Traffic Camera Calibration (WACV 2024)
neural networks to solve ode
solution of exercises of the book "probabilistic robotics"
to learn and create probabilistic models
Python code for "Probabilistic Machine learning" book by Kevin Murphy
This repository contains an implementation of REMODE (REgularized MOnocular Depth Estimation), as described in the paper.
edition 2 of the slambook
A Self-Calibrating End-to-End Pipeline for Real-Time Speed Estimation for Traffic Monitoring
On-going project: I will be implementing a combination of pairs trading strategies in attempt to see which type performs best after backtesting. The main ideas involve cointegration, kalman filter, copulas, and machine learning approaches. Since it is a market-neutral strategy, we will analyse the performance on its alpha rather than sharpe ratio.
Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.