Dataframes powered by a multithreaded, vectorized query engine, written in Rust

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

Low-code platform allows you to build business apps, enables you to quickly create internal tools such as dashboard, crud app, admin panel, crm, cms, etc. Supports PostgreSQL, MySQL, Supabase, Grap…

Korea Investment & Securities Open API Github https://apiportal.koreainvestment.com

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

Lightning ⚡️ fast forecasting with statistical and econometric models.

Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.

OpenOrca-KO dataset을 활용하여 llama2를 fine-tuning한 Korean-OpenOrca

SuperEasy 100% Local RAG with Ollama + Email RAG

This is the Personality Core for GLaDOS, the first steps towards a real-life implementation of the AI from the Portal series by Valve.

📝 An awesome Data Science repository to learn and apply for real world problems.

The official Meta Llama 3 GitHub site

PyTorch code for ETSformer: Exponential Smoothing Transformers for Time-series Forecasting

A curated list of awesome big data frameworks, ressources and other awesomeness.

The platform for building AI from enterprise data

📗 SheetJS Spreadsheet Data Toolkit -- New home https://git.sheetjs.com/SheetJS/sheetjs

The open-source observability platform everyone needs!

All Algorithms implemented in Python

Practical course about Large Language Models.

Foundation Models for Time Series

Enhanced ChatGPT Clone: Features OpenAI, Assistants API, Azure, Groq, GPT-4 Vision, Mistral, Bing, Anthropic, OpenRouter, Vertex AI, Gemini, AI model switching, message search, langchain, DALL-E-3,…

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

Deep learning-based outlier/anomaly detection

tfts: Time Series Deep Learning Models in TensorFlow

List of implementation of SOTA deep anomaly detection methods

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

Anomaly Detection and Correlation library

Actively developed Hierarchical Temporal Memory (HTM) community fork (continuation) of NuPIC. Implementation for C++ and Python