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pytorch version of neural collaborative filtering
A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17
AI-Driven Research Assistant: An advanced multi-agent system for automating complex research processes. Leveraging LangChain, OpenAI GPT, and LangGraph, this tool streamlines hypothesis generation,…
AutoMQ is a cloud-first alternative to Kafka by decoupling durability to S3 and EBS. 10x Cost-Effective. No Cross-AZ Traffic Cost. Autoscale in seconds. Single-digit ms latency.
Source available LLM Ops platform and LLM Optimization Studio powered by DSPy.
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
⏯ | A lightweight browser extension that enables YouTube for TV in your browser
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
The Programmable Cypher-based Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone
This repository houses the code for Diver, my AI-powered bot designed to assist users in exploring the world of Data Science - with some technical knowledge and insights from my own blog at your fi…
A cloud-native vector database, storage for next generation AI applications
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Examples and guides for using the OpenAI API
The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, and more.
🐢 Open-Source Evaluation & Testing for ML & LLM systems
A pytorch quantization backend for optimum
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
TechSchool is a curated list of free programming courses from YouTube
Repositório da 2ª edição da Rinha de Backend
🚀 Open Source REST API for SpaceX launch, rocket, core, capsule, starlink, launchpad, and landing pad data.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Material de Cálculo Numérico em Julia.