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
aat
Asynchronous, event-driven algorithmic trading in Python and C++
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
AGI-Papers
Papers and Book to look at when starting AGI 📚
dysts
More than a hundred strange attractors
Mastering-Python-for-Finance-source-codes
Accompanying source codes for my book 'Mastering Python for Finance'.
chetanmehra's Repositories
chetanmehra/amazon-freertos
Cloud-native IoT operating system for microcontrollers.
chetanmehra/Arcade-Learning-Environment
The Arcade Learning Environment (ALE) -- a platform for AI research.
chetanmehra/brew
brew: Python Ensemble Learning API
chetanmehra/data-visualization-notebooks
Collection of Jupyter notebooks about data visualization
chetanmehra/Deep-Learning-for-Time-Series-and-NLP
A deep learning algorithm, based on CNN and LSTM, which is applicable for time series data classification and for NLP applications.
chetanmehra/Deep-Trading
Algorithmic trading with deep learning experiments
chetanmehra/DeepSuperLearner
DeepSuperLearner - Python implementation of the deep ensemble algorithm
chetanmehra/Devise
Devise: An Ethereum Marketplace for Engineering Better Representations of Financial Markets
chetanmehra/eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
chetanmehra/EliteQuant
A list of online resources for quantitative modeling, trading, portfolio management
chetanmehra/games
:video_game: A list of popular/awesome videos games, add-ons, maps, etc. hosted on GitHub. Any genre. Any platform. Any engine.
chetanmehra/Generative-Adversarial-Networks-for-financial-time-series-generation
chetanmehra/ib_insync
Python sync/async framework for Interactive Brokers API
chetanmehra/jupyter
Jupyter metapackage for installation, docs and chat
chetanmehra/kaggle-web-traffic
1st place solution
chetanmehra/maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
chetanmehra/ML-Ensembles-Methods
The goal of ensemble methods is to combine the predictions of several base estimators built with a given learning algorithm in order to improve generalizability / robustness over a single estimator
chetanmehra/ML-From-Scratch
Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining to Deep Learning.
chetanmehra/moa
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
chetanmehra/online_dmd
Implementation of Online DMD using NumPy
chetanmehra/PyTrendFollow
PyTrendFollow - systematic futures trading using trend following
chetanmehra/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
chetanmehra/Reinforcement-Learning-Notebooks
A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.
chetanmehra/sciblog_support
Support content for my blog
chetanmehra/svd
Python code implementing the power method for Singular Value Decomposition
chetanmehra/ta-lib
Python wrapper for TA-Lib (http://ta-lib.org/).
chetanmehra/tensorflow-wavenet
A TensorFlow implementation of DeepMind's WaveNet paper
chetanmehra/tsensembler
R package - Dynamic Ensembles for Time Series Forecasting
chetanmehra/XBOS-DR
chetanmehra/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow