Gurumurthi V Ramanan's repositories
ZerodhaPythonScripts
All scripts are in python language to trade in zerodha using algorithms.
aim
Aim — an easy-to-use and performant open-source experiment tracker.
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.
Beibo
🤖 Predict the stock market with AI 用AI预测股票市场
BhavFnO
Analyze FnO trends by using NSE Bhav copy
CartoonGan-tensorflow
Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.
CS131_release
Released assignments for the Stanford's CS131 course on Computer Vision.
cvxportfolio
Portfolio optimization and simulation in Python
Doing_bayesian_data_analysis
Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke
fin-ml
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
FinRL
A Deep Reinforcement Learning Framework for Automated Trading in Quantitative Finance. NeurIPS 2020. 🔥
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.
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.
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 .
pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
reppy
Modern robots.txt Parser for Python
scihub-1
Source code and data analyses for the Sci-Hub Coverage Study
search.morling.dev
Serverless website search for morling.dev
Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Stock_Analysis_For_Quant
Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
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.
sutton-barto-rl-exercises
📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction
textbook
The textbook Computational and Inferential Thinking: The Foundations of Data Science
website
Source for https://fullstackdeeplearning.com