Mert Sarikaya (sarikayamerts)

sarikayamerts

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Company:@hellofresh

Location:Istanbul

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Mert Sarikaya's starred repositories

Auto-GPT

An experimental open-source attempt to make GPT-4 fully autonomous.

Language:PythonLicense:MITStargazers:147726Issues:1566Issues:1938

langchain

πŸ¦œπŸ”— Build context-aware reasoning applications

Language:Jupyter NotebookLicense:MITStargazers:90178Issues:673Issues:7308

llama.cpp

LLM inference in C/C++

superset

Apache Superset is a Data Visualization and Data Exploration Platform

Language:TypeScriptLicense:Apache-2.0Stargazers:60973Issues:1508Issues:10521

openai-cookbook

Examples and guides for using the OpenAI API

mindsdb

The platform for building AI from enterprise data

Language:PythonLicense:NOASSERTIONStargazers:25942Issues:396Issues:3866

wttr.in

:partly_sunny: The right way to check the weather

Language:PythonLicense:Apache-2.0Stargazers:24195Issues:228Issues:655

just

πŸ€– Just a command runner

Language:RustLicense:CC0-1.0Stargazers:19031Issues:67Issues:977

sqlmodel

SQL databases in Python, designed for simplicity, compatibility, and robustness.

Language:PythonLicense:MITStargazers:13750Issues:149Issues:333

dalai

The simplest way to run LLaMA on your local machine

dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

Language:PythonLicense:Apache-2.0Stargazers:10808Issues:136Issues:162

mlops-zoomcamp

Free MLOps course from DataTalks.Club

Language:Jupyter NotebookStargazers:10790Issues:180Issues:92

autokeras

AutoML library for deep learning

Language:PythonLicense:Apache-2.0Stargazers:9103Issues:302Issues:900

catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Language:PythonLicense:Apache-2.0Stargazers:7945Issues:191Issues:2293

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Language:PythonLicense:MITStargazers:6939Issues:136Issues:463

jekyll-theme-chirpy

A minimal, responsive, and feature-rich Jekyll theme for technical writing.

Language:HTMLLicense:MITStargazers:6879Issues:32Issues:792

causalml

Uplift modeling and causal inference with machine learning algorithms

Language:PythonLicense:NOASSERTIONStargazers:4917Issues:85Issues:392

lance

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..

Language:RustLicense:Apache-2.0Stargazers:3670Issues:41Issues:872

mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Language:PythonLicense:MITStargazers:2981Issues:50Issues:632

stellargraph

StellarGraph - Machine Learning on Graphs

Language:PythonLicense:Apache-2.0Stargazers:2924Issues:61Issues:1041

neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms.

Language:PythonLicense:Apache-2.0Stargazers:2806Issues:36Issues:498

nixtla

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code πŸš€.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:2089Issues:35Issues:137

blankly

πŸš€ πŸ’Έ Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

Language:PythonLicense:LGPL-3.0Stargazers:2047Issues:42Issues:120

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:1846Issues:15Issues:202

re-data

re_data - fix data issues before your users & CEO would discover them 😊

Language:HTMLLicense:NOASSERTIONStargazers:1533Issues:24Issues:196

hydejack

A boutique Jekyll theme for hackers, nerds, and academics

Language:SCSSLicense:NOASSERTIONStargazers:1380Issues:29Issues:310

spacetimeformer

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

Language:Jupyter NotebookLicense:MITStargazers:757Issues:21Issues:80

tpu-starter

Everything you want to know about Google Cloud TPU

Language:PythonLicense:CC-BY-4.0Stargazers:476Issues:8Issues:3

tsfeatures

Calculates various features from time series data. Python implementation of the R package tsfeatures.

Language:PythonLicense:Apache-2.0Stargazers:350Issues:8Issues:20

looper

A resource list for causality in statistics, data science and physics