karumanchi's repositories
trading-momentum-transformer
This code accompanies the the paper Trading with the Momentum Transformer: An Intelligent and Interpretable Architecture (https://arxiv.org/pdf/2112.08534.pdf).
startbootstrap-grayscale
A multipurpose one page Bootstrap theme created by Start Bootstrap
winning
Inference of relative ability from winning probabilities
django-plotly-dash
Expose plotly dash apps as django tags
PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
AnimatedPythonPatterns
Animated GIF patterns made in Python Matplotlib.
karumanchi.github.io
Apply ML & AI to Hedge Funds
deep-learning-from-scratch-pytorch
Deep Learning from Scratch with PyTorch
eif
Extended Isolation Forest for Anomaly Detection
how-to-read-pytorch
Quick, visual, principled introduction to pytorch code through five colab notebooks.
mlfinlab
MlFinlab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
product_recommendations
Recommendation of products using transfer learning and cosine image similarity
Quantitative-Country-ETF-Trading-Strategy
Quantitative Country ETF Trading Strategy
Alpha_ML
Machine Learning models applied to financial time series datasets
quantstats
Portfolio analytics for quants, written in Python
Reinforcement-learning-in-portfolio-management-
In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.
data-analysis
Data analysis and research, including custom Jupyter notebooks and Kaggle problems.
spectre
GPU-accelerated Factors analysis library and Backtester
STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
MCV
Ethereum's Venture DAO
mts-clustering
Multivariate extensions to existing partitional time series clustering algorithms
tia
Toolkit for integration and analysis
dashdub
Convert speech to text with Dash & Python
automated-venture-capitalist
Contains information for the AAAI-KDF'20 paper "The Automated Venture Capitalist".
dash-sample-apps
Apps hosted in the Dash Gallery
TradingStrategy
Final Trading Model