Stars
Turns Data and AI algorithms into production-ready web applications in no time.
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team, Alibaba Cloud.
Android in docker solution with noVNC supported and video recording
The OWASP Mobile Application Security Testing Guide (MASTG) is a comprehensive manual for mobile app security testing and reverse engineering. It describes technical processes for verifying the OWA…
Minimal reproduction of DeepSeek R1-Zero
Synapse: Matrix homeserver written in Python/Twisted.
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
A Library for Advanced Deep Time Series Models for General Time Series Analysis.
TensorFlow-based neural network library
Bayesian Modeling and Probabilistic Programming in Python
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 17+ clouds, or on-prem).
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Tra…
A curated list of practical financial machine learning tools and applications.
Automated Machine Learning with scikit-learn
fast-stable-diffusion + DreamBooth
Curso para aprender los fundamentos del lenguaje SQL y bases de datos relacionales desde cero y para principiantes.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Portfolio analytics for quants, written in Python
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 characteristi…
Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.