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/timemachines
Continuously evaluated, pure-functional, time-series forecastsing methods
rambam613/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).
rambam613/ARIMA-Model
ARIMA model from scratch using numpy and pandas.
rambam613/Bayesian-Optimization
Bayesian Optimization algorithms with various recent improvements
rambam613/deep-symbolic-optimization
Source code for deep symbolic optimization.
rambam613/ForecastGA
A Python tool to forecast Google Analytics data using several popular time series models.
rambam613/Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
rambam613/gp_regression
A Primer on Gaussian Processes for Regression Analysis (PyData NYC 2019)
rambam613/hddm
HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).
rambam613/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
rambam613/l5kit
L5Kit - level5.lyft.com
rambam613/manifold-mcmc-for-diffusions
Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'
rambam613/Merlion
Merlion: A Machine Learning Framework for Time Series Intelligence
rambam613/mici
Manifold Markov chain Monte Carlo methods in Python
rambam613/mofapy2
Multi-omics factor analysis v2
rambam613/neural_prophet
NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch
rambam613/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
rambam613/pplbench
Evaluation Framework for Probabilistic Programming Languages
rambam613/pyaf
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
rambam613/pyro
Deep universal probabilistic programming with Python and PyTorch
rambam613/PySR
Simple, fast, and parallelized symbolic regression in Python/Julia via regularized evolution and simulated annealing
rambam613/pytorch-forecasting
Time series forecasting with PyTorch
rambam613/quantdare_posts
rambam613/sktime
A unified framework for machine learning with time series
rambam613/sktime-tutorial-pydata-amsterdam-2020
Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020
rambam613/streamlit-application-deployment-on-aws
Streamlit EDA Dashboard Powered by AWS Cloud
rambam613/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
rambam613/tf-quant-finance
High-performance TensorFlow library for quantitative finance.
rambam613/tsfel
An intuitive library to extract features from time series
rambam613/YouTubeVideoCode
Code related to my YouTube vids!