AaronNHorvitz

AaronNHorvitz's Stars

• ohmyzsh/ohmyzsh

  🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.

  Language:Shell175k2.6k4.9k26k

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  67.6k1.9k1439.2k

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python60.6k2.1k11.3k25.5k

• QuivrHQ/quivr

  Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.

  Language:Python37k2851.5k3.6k

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.7k4264.2k6.4k

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.7k3442694.1k

• CSSEGISandData/COVID-19

  Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

  29.1k8653.8k18.4k

• fivethirtyeight/data

  Data and code behind the articles and graphics at FiveThirtyEight

  Language:Jupyter Notebook16.9k1.3k16310.9k

• stefan-jansen/machine-learning-for-trading

  Code for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook13.7k3942994.3k

• mxgmn/MarkovJunior

  Probabilistic language based on pattern matching and constraint propagation, 153 examples

  Language:C#7.6k9428318

• je-suis-tm/quant-trading

  Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

  Language:Python6.1k249151.2k

• facebookresearch/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.

  Language:Python5.2k79187549

• Uniswap/v3-core

  🦄 🦄 🦄 Core smart contracts of Uniswap v3

  Language:TypeScript4.5k1422972.8k

• huggingface/blog

  Public repo for HF blog posts

  Language:Jupyter Notebook2.5k90258779

• WenjieDu/PyPOTS

  A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

  Language:Python1.2k13190120

• RamiKrispin/vscode-python

  A Tutorial for Setting Python Development Environment with VScode and Docker

  Language:Shell86438787

• OmkarPathak/pyresparser

  A simple resume parser used for extracting information from resumes

  Language:Python8181766416

• Axelrod-Python/Axelrod

  A research tool for the Iterated Prisoner's Dilemma

  Language:Python73828466266

• b2developer/MonopolyNEAT

  NEAT implemented into Monopoly with a knockout tournament scheme

  Language:C#45412978

• jonathandunn/text_analytics

  Basic text analytics and natural language processing in Python

  Language:Python12014953

• PacktPublishing/Mastering-NLP-from-Foundations-to-LLMs

  Mastering NLP from Foundations to LLMs, Published by Packt

  Language:Jupyter Notebook805028

• joaofig/pyloess

  A simple implementation of the LOESS algorithm using numpy

  Language:Jupyter Notebook676217

• ZebinYang/gaminet

  Generalized additive model with pairwise interactions

  Language:Python6351029

• esonderegger/fecfile

  a python parser for the .fec file format

  Language:Python4481513

• JPSchloss/Code_Resources_And_Examples

  A collection of code snippets that I create and share with the world!

  Language:Jupyter Notebook36108

• AaronNHorvitz/Federal-Election-Commission-FEC-Data

  This is my capstone project. The full presentation can be found in the uploaded PDF file. I created a model that calculates the ROI and predicts individual donations to election campaigns for the US House of Representatives using data reported to the Federal Election Commission (FEC).

  Language:Python5200

• AaronNHorvitz/Find-Stock-and-Commodity-Price-Trends

  How to find stock and commodity price trends using LOWESS (Locally Weighted Scatterplot Smoothing)

  Language:Jupyter Notebook5302

• AaronNHorvitz/Energy-Information-Administration-EIA-and-FRED-API-calls-using-Python

  Language:Jupyter Notebook220

• AaronNHorvitz/Read-COVID-19-Data-Into-a-Pandas-Dataframe-Inside-A-Jupyter-Notebook

  This is for anyone who would like to quickly read the COVID-19 time series data into a Pandas dataframe inside a Jupyter Notebook. I posted the Python code on Github in a Jupyter Notebook. The raw data is updated daily by Johns Hopkins University. Hopefully, this helps.

  Language:Jupyter Notebook2104

• AaronNHorvitz/Raising-Money-for-Congressional-Elections-Capstone-Project

  This is my capstone project. I created a model that calculates the ROI and predicts individual donations to election campaigns for the US House of Representatives using data reported to the Federal Election Commission (FEC).

  10