Hari Nath Bingi's Projects
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
Code samples for AI fundamentals
Data Visualisation on ATP data
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Some projects I work on myself to ease stuff!!
Sentiment analysis of moview reviews using Neural Networks (PyTorch)
This repository contains implementations and illustrative code to accompany DeepMind publications
DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution
A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights
A PyTorch implementation of EfficientNet
API Wrappers for Energy Markets Data
Information and some helpful code on how to fetch performance data from BPPM for performing analytics
Information and starter code on how to fetch performance data from Solarwinds for performing analytics
A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020. Please star. š„
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Deep neural network to extract intelligent information from invoice documents.
Jupyter metapackage for installation, docs and chat
Deep Reinforcement Learning for Keras.
Implementation of different ML Algorithms from scratch, written in Python 3.x
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
A browser extension to read medium.com articles for free without membership.
Exercise notebooks for Machine Learning modules on Microsoft Learn
Model selection and stability plots