Pinned Repositories
-Deep-Reinforcement-Learning-for-Automated-Stock-Trading-Ensemble-Strategy-ICAIF-2020_practice
AAAI2022-HCM
Source code of AAAI'22 paper: A Hybrid Causal Structure Learning Algorithm for Mixed-type Data
Adv_Fin_ML_Exercises
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
aenea
Client-server library for using voice macros from Dragon NaturallySpeaking and Dragonfly on remote/non-windows hosts.
aeron
Efficient reliable UDP unicast, UDP multicast, and IPC message transport
AI-for-Time-Series-Papers-Tutorials-Surveys
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
ai_for_trading_nanodegree_alpha_research_multi_factor_modeling_project
Modeling a multi-alpha factor stock portfolio. For Udacity's AI for Trading Nanodegree.
ALACPD
Change-point detection using neural networks
Mastering-Python-for-Finance-source-codes
Accompanying source codes for my book 'Mastering Python for Finance'.
chetanmehra's Repositories
chetanmehra/arviz
Exploratory analysis of Bayesian models with Python
chetanmehra/auto-sklearn
Automated Machine Learning with scikit-learn
chetanmehra/autogluon
AutoGluon: AutoML for Image, Text, and Tabular Data
chetanmehra/causalai
Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data
chetanmehra/causalml-1
Uplift modeling and causal inference with machine learning algorithms
chetanmehra/CodeGen
CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.
chetanmehra/Daily-Dose-of-Data-Science
A collection of code snippets from the publication Daily Dose of Data Science on Substack: https://avichawla.substack.com.
chetanmehra/Data-science
Collection of useful data science topics along with code and articles
chetanmehra/ensemble-methods-notebooks
A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2020)
chetanmehra/fauxpilot
FauxPilot - an open-source GitHub Copilot server
chetanmehra/feature_engine
Feature engineering package with sklearn like functionality
chetanmehra/finta
Common financial technical indicators implemented in Pandas.
chetanmehra/git-credential-manager
Secure, cross-platform Git credential storage with authentication to GitHub, Azure Repos, and other popular Git hosting services.
chetanmehra/hierarchicalforecast
Hierarchical 👑 forecasting with statistical and econometric methods.
chetanmehra/htsf
Hierarchical Time Series Forecasting
chetanmehra/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
chetanmehra/m6entry
chetanmehra/Merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
chetanmehra/NNS
Nonlinear Nonparametric Statistics
chetanmehra/notebooks-contrib
RAPIDS Community Notebooks
chetanmehra/pandas-ta
Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators
chetanmehra/PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development and validation
chetanmehra/pysystemtrade
Systematic Trading in python
chetanmehra/rapidsai-csp-utils
chetanmehra/scalecast-examples
Examples of the application of individual scalecast models
chetanmehra/shapley
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
chetanmehra/showcase
chetanmehra/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.
chetanmehra/TabPFN
Official implementation of the TabPFN and the tabpfn package.
chetanmehra/vowpal_wabbit
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.