Pinned Repositories
ai-economist
Foundation is a flexible, modular, and composable framework to model socio-economic behaviors and dynamics with both agents and governments. This framework can be used in conjunction with reinforcement learning to learn optimal economic policies, as done by the AI Economist (https://www.einstein.ai/the-ai-economist).
alphalens
Performance analysis of predictive (alpha) stock factors
etna-ts
ETNA – Time-Series Library
Extra-Streamlit-Components
An all in one place, to find complex or just not available components by default on streamlit.
factor_momentum
An equity analysis on momentum factor investing.
gnn-project
A Graph Neural Network project on HIV data
PGM
Probabilistic Graphical Models
pytorch-ts
PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend
timemachines
Continuously evaluated, pure-functional, time-series forecastsing methods
US-Crude-Balances
viewer for data related to US crude oil supply and demand
rambam613's Repositories
rambam613/alphalens
Performance analysis of predictive (alpha) stock factors
rambam613/atspy
AtsPy: Automated Time Series Models in Python (by @firmai)
rambam613/AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
rambam613/Bayes_Computing_Course
rambam613/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
rambam613/bt
bt - flexible backtesting for Python
rambam613/coursera-tensorflow2_for_deeplearning_specialization
Coursera TensorFlow2 For DeepLearning Specialization
rambam613/DeepSymReg
Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
rambam613/hgcn
Hyperbolic Graph Convolutional Networks in PyTorch.
rambam613/Kaggle-Notebooks
My notebooks created on Kaggle
rambam613/KellyPortfolio
A tool for combining historical data with user-provided forecasts to produce Kelly optimal portfolio allocations
rambam613/LSTM-GRU-BiLSTM-in-TensorFlow-for-predictive-analytics
rambam613/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
rambam613/MIP-EGO
Mixed-Integer Parallel Efficient Global Optimization
rambam613/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.
rambam613/open-source-cs
Video discussing this curriculum:
rambam613/Pairs-trading-using-ML-Python-
Applying machine learning to financial markets
rambam613/pm-prophet
GAM timeseries modeling with auto-changepoint detection. Inspired by Facebook Prophet and implemented in PyMC3
rambam613/pyconcorde
Python wrapper around the Concorde TSP solver
rambam613/quantecon-notebooks-python
A Repository of Notebooks for the Python Lecture Site
rambam613/riskparity.py
Fast and scalable design of risk parity portfolios
rambam613/scikit-hts-examples
Example usage of scikit-hts
rambam613/scipy_con_2019
Tutorial Sessions for SciPy Con 2019
rambam613/sigma_coding_youtube
This is a collection of all the code that can be found on my YouTube channel Sigma Coding.
rambam613/spectre
GPU-accelerated Factors analysis library and Backtester
rambam613/stochastic-asset-pricing-in-continuous-time
Predicting stock prices using Geometric Brownian Motion and the Monte Carlo method
rambam613/streamlit-plotly-events
Streamlit component that allows Plotly events to bubble back up to streamlit. Makes Plotly charts interactive!
rambam613/streamlit-timeline
A simple Streamlit Component to display a Timeline in Streamlit apps. It integrates Knightlab's TimelineJS.
rambam613/tsa-notebooks
Jupyter notebooks on time series econometrics topics.
rambam613/TSA-througput-data
Data for airport and checkpoint level passenger flows as provided by the TSA