Mate Hegedus's starred repositories

the-algorithm

Source code for Twitter's Recommendation Algorithm

Language:ScalaLicense:AGPL-3.0Stargazers:61816Issues:374Issues:966

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

ChatDev

Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)

Language:ShellLicense:Apache-2.0Stargazers:24664Issues:309Issues:245

shap

A game theoretic approach to explain the output of any machine learning model.

Language:Jupyter NotebookLicense:MITStargazers:22232Issues:240Issues:2494

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

Language:HTMLLicense:MITStargazers:10525Issues:266Issues:45

imagen-pytorch

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Language:PythonLicense:MITStargazers:7915Issues:113Issues:300

autogluon

Fast and Accurate ML in 3 Lines of Code

Language:PythonLicense:Apache-2.0Stargazers:7489Issues:101Issues:1356

backgroundremover

Background Remover lets you Remove Background from images and video using AI with a simple command line interface that is free and open source.

Language:PythonLicense:MITStargazers:6519Issues:49Issues:131

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:4991Issues:62Issues:650

gluonts

Probabilistic time series modeling in Python

Language:PythonLicense:Apache-2.0Stargazers:4478Issues:75Issues:952

min-dalle

min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch

Language:PythonLicense:MITStargazers:3484Issues:25Issues:76

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Language:PythonLicense:GPL-3.0Stargazers:1977Issues:29Issues:198

Autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

Language:Jupyter NotebookLicense:MITStargazers:1844Issues:15Issues:202

hftbacktest

A high-frequency trading and market-making backtesting tool in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books, with real-world crypto market-making examples for Binance Futures

Language:RustLicense:MITStargazers:1617Issues:51Issues:62

PatchTST

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

Language:PythonLicense:Apache-2.0Stargazers:1434Issues:13Issues:109

binance-public-data

Details on how to get Binance public data

IBC

Automation of Interactive Brokers TWS. You can download the latest release here: https://github.com/ibcalpha/ibc/releases/latest

Language:JavaLicense:GPL-3.0Stargazers:986Issues:65Issues:231

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 on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

Language:PythonLicense:BSD-3-ClauseStargazers:873Issues:13Issues:165

client-python

The official Python client library for the Polygon REST and WebSocket API.

Language:PythonLicense:MITStargazers:761Issues:28Issues:228

arbitragelab

ArbitrageLab is a python library that enables traders who want to exploit mean-reverting portfolios by providing a complete set of algorithms from the best academic journals.

Language:PythonLicense:BSD-3-ClauseStargazers:465Issues:16Issues:4

tinyzero

Easily train AlphaZero-like agents on any environment you want!

Language:PythonLicense:MITStargazers:402Issues:3Issues:0

Overwatcheat

Free, open-source undetected color cheat!

Language:KotlinLicense:AGPL-3.0Stargazers:323Issues:30Issues:278

SAITS

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

Language:PythonLicense:MITStargazers:294Issues:6Issues:27

algotrading-example

algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex, binance futures, market making)

Language:Jupyter NotebookStargazers:273Issues:15Issues:8

stocktrends

A python package to calculate trends in stocks, derivates(Futures & Options) using Renko, PnF, LineBreak etc

Language:PythonLicense:GPL-3.0Stargazers:236Issues:15Issues:29

ibkr-docker

Run IBKR Gateway/TWS in a Docker container

collect-binancefutures

Collect BinanceFutures's trade and orderbook(depth) feeds.

qmrExchange

Stock/Crypto Exchange Simulator for Analyzing the Interaction between multiple Trading Agents.

Language:PythonLicense:MITStargazers:76Issues:5Issues:2

arbitrage_research

Jupyter Notebook examples on how to use the ArbitrageLab - pairs trading - python library.

Language:Jupyter NotebookLicense:BSD-3-ClauseStargazers:70Issues:5Issues:0

binance-bulk-downloader

A Python library to efficiently and concurrently download historical data files from Binance. Supports all asset types (spot, USDT-M, COIN-M, options) and all data frequencies.

Language:PythonLicense:MITStargazers:16Issues:1Issues:1