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/US-Crude-Balances
viewer for data related to US crude oil supply and demand
rambam613/factor_momentum
An equity analysis on momentum factor investing.
rambam613/awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
rambam613/awesome_time_series_in_python
This curated list contains python packages for time series analysis
rambam613/convert2Yolo
This project purpose is convert voc annotation xml file to yolo-darknet training file format
rambam613/cowc_car_counting
Project to train/evaluate convolutional neural networks to count cars from COWC aerial images
rambam613/Deep-Learning-For-Hackers
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
rambam613/dl-colab-notebooks
Try out deep learning models online on Google Colab
rambam613/drilling-data-tools
rambam613/forecasting
Forecasting lectures and tutorials using Python
rambam613/GARCH_Neural_Network
The estimation of GARCH parameters using neural networks
rambam613/High-frequency-Pairs-trading
This is the final project of Statistical Arbitrage course and it aims to apply pairs trading in high frequency data to realize auto-trading
rambam613/income-prediction
predicting the occupation and income of Twitter users using graph embeddings
rambam613/Machine-Learning-from-Scratch
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
rambam613/machine_learning_examples
A collection of machine learning examples and tutorials.
rambam613/mcmc_pydata_london_2019
PyData London 2019 Tutorial on Markov chain Monte Carlo with PyMC3
rambam613/mean-reversion
Various python scripts to introduce mean reversion concepts.
rambam613/ML-DL-scripts
The repository provides usefull python scripts for ML and data analysis
rambam613/Multifactor-Model-Strategy-based-on-data-mining
This project aims to find the convincing factors which can describe the movement of stock return based on data mining method
rambam613/MusicVideoSync
Python app to sync Video Files to the beat of a song
rambam613/options_and_python
rambam613/pairs-trading-equities
rambam613/pyflux
Open source time series library for Python
rambam613/simrdwn
Rapid satellite imagery object detection
rambam613/skpro
Supervised domain-agnostic prediction framework for probabilistic modelling
rambam613/Statistical-Rethinking-with-Python-and-PyMC3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
rambam613/Stock-Forecasting
Hidden Markov Model (HMM) based stock forecasting
rambam613/TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10
How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows
rambam613/TensorFlow-Time-Series-Examples
Time Series Prediction with tf.contrib.timeseries
rambam613/VideoSync
Automatically synchronize crowd-sourced concert videos