anehrani Goto Github PK

barbotine-arbitrage-bot

CCXT-based cross-exchange arbitrage bot operating on CEXs, entirely written in Python. Work without any transfer between exchanges.

bayesian-deep-learning

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

ccxt-rs

A Rust library for cryptocurrency trading and e-commerce with support for many bitcoin/ether/altcoin exchange markets and merchant APIs.

cryptocurrency-trading

How to make profits in cryptocurrency trading with machine learning

deep-trading

Algorithmic trading with deep learning experiments

deepstream

yolov2 ,yolov5 ,yolov6 ,yolov7 ,yolov7,yolovR ,yolovX on deepstream

deepstream_object_detector

trying state of the art detector in deepstream

deepstream_objectdetection

object detection with deepstream

deepstreamobjecttrackjetson

ds_mobile_speed_estimation

a code to calculate speed of vehicles while both sides are moving

enn_bnn

Epistemic neural network

foundamentalsnumericalcomputation-py

Extra materials for *Fundamentals of Numerical Computation* by Driscoll and Braun.

gluestick

Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)

intelligent-trading-bot

Intelligent Trading Bot: Automatically generating signals and trading based on machine learning and feature engineering

onnxruntime_jetson_single_object

developing a detector using onnxruntime in jetson nano

probabilistic_robotics

solution of exercises of the book "probabilistic robotics"

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

rpg_open_remode

This repository contains an implementation of REMODE (REgularized MOnocular Depth Estimation), as described in the paper.

slambook2

edition 2 of the slambook

speed-estimation-traffic-monitoring

A Self-Calibrating End-to-End Pipeline for Real-Time Speed Estimation for Traffic Monitoring

speedestimationdeepstreamjetson

statistical-arbitrage-pairs-trading-strategy

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-hmm-lstm

Stock Market Trend Analysis Using Hidden Markov Model and Long Short Term Memory

token-list

tokenlogos

design logos for crypto tokens

tutorials

collecting some books for later study

yolov9-bytetrack-tensorrt

Integration of YOLOv9 with ByteTracker