JayMoghariya

JayMoghariya's Stars

• mendableai/firecrawl

  🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

  Language:TypeScript33.5k2.9k

• Netflix/Fenzo

  Extensible Scheduler for Mesos Frameworks

  Language:Java699115

• onlook-dev/onlook

  The open source Cursor for Designers. Design directly in your live React app and publish your changes to code.

  Language:TypeScript9k520

• AbaciNLP/InvestLM

  Language:Python11618

• AI4Finance-Foundation/FinGPT

  FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.

  Language:Jupyter Notebook15.6k2.2k

• doherty-labs/health-app-demo

  Language:TypeScript8525

• jatindra-suthar/flutter-push-notifications

  Language:C++4

• Netflix/Hystrix

  Hystrix is a latency and fault tolerance library designed to isolate points of access to remote systems, services and 3rd party libraries, stop cascading failure and enable resilience in complex distributed systems where failure is inevitable.

  Language:Java24.3k4.7k

• elastic/elasticsearch

  Free and Open Source, Distributed, RESTful Search Engine

  Language:Java72.2k25.1k

• anomic1911/Structured-Graph-Learning

  Python implementation of the Structured Graph Learning (SGL) algorithm by Kumar et. al (2019, https://papers.nips.cc/paper/9339-structured-graph-learning-via-laplacian-spectral-constraints)

  Language:Python5

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

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

  Language:Jupyter Notebook14.5k4.5k

• SimplyWallSt/Company-Analysis-Model

  Documentation behind the model used to analyse companies in Simply Wall St

  1.5k416

• hudson-and-thames/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.

  Language:Python4.2k1.2k

• Substancia/Wolfpack-Search-Algorithm

  Language:Python2

• husnejahan/Multivariate-Time-series-Analysis-using-LSTM-ARIMA

  Multivariate Time series Analysis Using LSTM & ARIMA

  Language:Jupyter Notebook3714

• jankrepl/deepdow

  Portfolio optimization with deep learning.

  Language:Python992145

• robertmartin8/PyPortfolioOpt

  Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

  Language:Jupyter Notebook4.9k997

• KvanNoord/3D-CNN-EEG-Emotion-Classification

  Openly available framework:

  Language:MATLAB12

• QuantConnect/lean-cli

  CLI for running the LEAN engine locally and in the cloud

  Language:Python225118

• QuantConnect/Lean

  Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

  Language:C#10.9k3.4k

• cvxgrp/cvxportfolio

  Portfolio optimization and back-testing.

  Language:Python1.1k262

• kokoff/deep-forecast

  Forecasting Macroeconomic Parameters with Deep Learning Neural Networks - Final Year Peoject

  Language:Python133

• Simon-Bertrand/Clusters-Features

  The Clusters-Features package allows data science users to compute high-level linear algebra operations on any type of data set. It computes approximatively 40 internal evaluation scores such as Davies-Bouldin Index, C Index, Dunn and its Generalized Indexes and many more ! Other features are also available to evaluate the clustering quality.

  Language:Python318

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.9k3.7k

• mfrdixon/ML_Finance_Codes

  Machine Learning in Finance: From Theory to Practice Book

  Language:Jupyter Notebook2k545

• chibui191/bitcoin_volatility_forecasting

  GARCH and Multivariate LSTM forecasting models for Bitcoin realized volatility with potential applications in crypto options trading, hedging, portfolio management, and risk management

  Language:Jupyter Notebook24973

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python61.6k25.7k