gurusura

antimalware

Dynamic malware analysis for the Android platform

pdf-text-data-extractor

PDF text data extraction web application with streamlit

pynse

torch-rnn

Efficient, reusable RNNs and LSTMs for torch

ZerodhaPythonScripts

All scripts are in python language to trade in zerodha using algorithms.

gurusura/ZerodhaPythonScripts

All scripts are in python language to trade in zerodha using algorithms.

gurusura/aim

Aim — an easy-to-use and performant open-source experiment tracker.

gurusura/Algorithmic-Trading-Strategies-Python-implementation

Algo trading strategies implemented in python. In future along with rule based approaches, machine learning stragies are going to be incorporated to generate buy sell and hold signals in live market.

gurusura/alpaca-oauth-trading-app

gurusura/Beibo

🤖 Predict the stock market with AI 用AI预测股票市场

gurusura/BhavFnO

Analyze FnO trends by using NSE Bhav copy

gurusura/CartoonGan-tensorflow

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

gurusura/code-transformer

Implementation of the paper "Language-agnostic representation learning of source code from structure and context".

gurusura/course-content-dl

gurusura/CS131_release

Released assignments for the Stanford's CS131 course on Computer Vision.

gurusura/cvxportfolio

Portfolio optimization and simulation in Python

gurusura/Doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

gurusura/fin-ml

This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.

gurusura/FinRL

A Deep Reinforcement Learning Framework for Automated Trading in Quantitative Finance. NeurIPS 2020. 🔥

gurusura/Getting-Started-with-Streamlit-for-Data-Science

gurusura/google_search_console_search_volume

gurusura/islr-python

gurusura/Linear_Algebra_With_Python

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the most must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

gurusura/NSE-Data

NSE Data [Both Live tick data and per minute data] is uploaded in this repository. NSE live tick data uploaded every day after market ends.

gurusura/obsei

Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .

gurusura/pytudes

Python programs, usually short, of considerable difficulty, to perfect particular skills.

gurusura/reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

gurusura/reppy

Modern robots.txt Parser for Python

gurusura/search.morling.dev

Serverless website search for morling.dev

gurusura/Stock-Prediction-Models

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

gurusura/Stock_Analysis_For_Quant

Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

gurusura/Superalgos

Free, open-source crypto trading bot, automated bitcoin / cryptocurrency trading software, algorithmic trading bots. Visually design your crypto trading bot, leveraging an integrated charting system, data-mining, backtesting, paper trading, and multi-server crypto bot deployments.

gurusura/sutton-barto-rl-exercises

📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

gurusura/textbook

The textbook Computational and Inferential Thinking: The Foundations of Data Science

gurusura/unsupervised_NER

Self-supervised NER prototype - updated version (69 entity types - 17 broad entity groups). Uses pretrained BERT models with no fine tuning. State-of-art performance on 3 biomedical datasets