Name: Meghraj Pardesi
Type: User
Bio: Tensorflow Certified Developer, i am passionate about Artificial Intelligence machine learning , Linux, Computer Vision
Location: Mhow, Dist:-Indore,MP ,India
Meghraj Pardesi's Projects
This is complete algo trading package is for downloading historical OHLC data for backtesting and performing live trading on Interactive Brokers. For learning step by step procedure to recreate this is also included. OHLC data for backtesting and performing live trading on interactive brokers.
Chatbot using SpaCy
YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
Practising basics to master tensorflow
This repository contains implementations and illustrative code to accompany DeepMind publications
Web service for ML(Demo)
These is project during i was accomplished during my training at linkites infotech pvt ltd
React and Firebase-login
plays songs on gaana.com and records it in high quality
Python toolkit for quantitative finance
my first repository
html projects made by me
An End to END implementation of custom ReductionResnet for checking similarity between two images. has a custom c++ code for reduction layer which get embedded into torch lib.
Image classification for different patterns of cloth on women's dress
sample repo while learning
Config files for my GitHub profile.
[Book-2021] Practical MLOps O'Reilly Book
Python training for business analysts and traders
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Quantitative research and educational materials
Master the command line, in one page
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
Source for https://fullstackdeeplearning.com
This repo is fork of yolov5 and trained on wider face dataset for face detection
Repository for most of the code from my YouTube channel