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Claret Ibeawuchi Greyisheep
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Data Scientist and Full-Stack Developer with expertise in Golang, FastAPI and React.
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I love watching anime
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Starred repositories
Anthropic's Interactive Prompt Engineering Tutorial
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
Daytona is a Secure and Elastic Infrastructure for Running AI-Generated Code
Repository for a content generation and research agent built with Google ADK
AGENTS.md — a simple, open format for guiding coding agents
DSPy: The framework for programming—not prompting—language models
AI-powered document intelligence platform for automated analysis, processing, and insights extraction from various document formats.
Real-time data analysis and control system leveraging AI for dynamic decision-making and automated response mechanisms.
Monoscope lets you ingest and explore your logs, traces and metrics. We store these in S3 compatible buckets. Query in natural language via LLMs.
An open-source AI agent that brings the power of Gemini directly into your terminal.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
12 Lessons to Get Started Building AI Agents
An open protocol enabling communication and interoperability between opaque agentic applications.
A curated list of VULNERABLE APPS and SYSTEMS which can be used as PENETRATION TESTING PRACTICE LAB.
Erfaniaa / text-to-commit-history
Forked from gelstudios/gitfitiWrite a large text on your GitHub profile, with your commits history (contribution graph).
Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
Autonomous coding agent right in your IDE, capable of creating/editing files, executing commands, using the browser, and more with your permission every step of the way.
🤖 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
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Represent, send, store and search multimodal data
Seesaw v2 is a Linux Virtual Server (LVS) based load balancing platform.
Starlark in Go: the Starlark configuration language, implemented in Go
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)