High-Dimensional Portfolio Selecton with Cardinality Constraints This repo contains code for perform proximal gradient descent to solve sample average
MidTerm Project for the Data Analysis FT Bootcamp, Adam Tycner and Florent ZAHOUI Hallo
NCL (Neighborhood-enrighed Contrastive Learning) This is the official PyTorch implementation for the paper: Zihan Lin*, Changxin Tian*, Yupeng Hou* Wa
sm_content_clustering A Python module for clustering creators of social media content into networks. Currently supports identifying potential networks
Translates LinkML schemas into Datalog programs and executes them using Souffle, enabling advanced validation and inference over instance data
NBA MVP Predictor A machine learning model using RandomForest Regression that predicts NBA MVP's using player data. Explore the docs » View Demo · Rep
LynxKite is a complete graph data science platform for very large graphs and other datasets. It seamlessly combines the benefits of a friendly graphical interface and a powerful Python API.
A data analysis using python and pandas to showcase trends in school performance. A data analysis to showcase trends in school performance using Panda
Stock-Market-AI-Analysis I dont mind anyone using this code but please give me credit A program that uses an API and a AI model to get info of stocks
EMGDecomp Package for decomposing EMG signals into motor unit firings, created for Formento et al 2021. Based heavily on Negro et al, 2016. Supports G
Data Aquisition using NI-DAQmx python API Based on this project It is a minimal working example for data acquisition using the NI-DAQmx python API. It
reliabiliPy Summary Simple implementation in Python of the [reliability](https://en.wikipedia.org/wiki/Reliability_(statistics) measures for surveys:
SolvationAnalysis The macroscopic behavior of a liquid is determined by its microscopic structure. For ionic systems, like batteries and many enzymes,
PyStan PyStan is a Python interface to Stan, a package for Bayesian inference. Stan® is a state-of-the-art platform for statistical modeling and high-
Numerics Numerical Analysis toolkit centred around PDEs, for demonstration and understanding purposes not production Use procedure: Initialise a new i
A pipeline that creates consensus sequences from a Nanopore reads. It clusters reads that are similar to each other and creates a consensus that is then identified using BLAST.
WeRateDogs Twitter Data from 2015 to 2017 Udacity - Data Analyst Nanodegree - Project 4 - Wrangle and Analyze Data Table of Contents Introduction Proj
PySpark-Structured-Streaming-ROS-Kafka-ApacheSpark-Cassandra The purpose of this project is to demonstrate a structured streaming pipeline with Apache
DataComPy DataComPy is a package to compare two Pandas DataFrames. Originally started to be something of a replacement for SAS's PROC COMPARE for Pand
Weather Image Recognition - Python weather application using series of data
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