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John Hancock Finance
- Boston, USA
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15:04
(UTC +05:30)
Stars
The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai
Fine-Tuning Falcon-7B, LLAMA 2 with QLoRA to create an advanced AI model with a profound understanding of the Indian legal context.
An extremely fast Python package and project manager, written in Rust.
A Comprehensive Toolkit for High-Quality PDF Content Extraction
Production-ready platform for agentic workflow development.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Build resilient language agents as graphs.
AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Crawl a site to generate knowledge files to create your own custom GPT from a URL
🦜🔗 The platform for reliable agents.
Deploy and Scale LLM-based applications
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data…
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
Kedro Plugin to support running pipelines on AWS SageMaker.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
Data Science Project - Spotify tracka 1922 - 2021 600k tracks
Handwritten version of KMeans Clustering algorithm, compared against Scikit-learn's algorithm on Kaggle's Spotify 1922-2021 songs dataset. Written in Python for CSC 590 project.
Generate polished résumés and CVs in HTML, Markdown, LaTeX, MS Word, PDF, plain text, JSON, XML, YAML, smoke signal, and carrier pigeon.
📄 Awesome CV is LaTeX template for your outstanding job application
UC Berkeley team's submission for RecSys Challenge 2018
Joint Detection and Embedding for fast multi-object tracking
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
This is a reproduction of paper A Content-based Recommender System for E-commerce Offers and Coupons, http://ceur-ws.org/Vol-2311/paper_20.pdf on Kaggle Competition Coupon Purchase Prediction