Lists (4)
Starred repositories
Example of using Realtime API as a meeting assistant to manage a Kanban Board
Open-Source Omnichannel CRM with Premium Autodialer Description: bring all features together—voice, SMS, WhatsApp, email, and chat—inside a single agent desktop with automations, analytics, and int…
🔮 Platform-neutral Browser Use for AI agents: real Chrome automation with a CLI + SDKs, no lock-in, dead simple.
Curated Collection of all Low level design Questions and implementation asked in major Tech companies , Get yourself prepared for the LLD round and ace the interview.
TencentDB Agent Memory delivers fully local long-term memory for AI Agents via a 4-tier progressive pipeline, with zero external API dependencies.
Tiny tmux command center for live terminal agents.
Local-first AI job intelligence workbench for scraping roles, ranking fit, and generating tailored application materials.
A personal journey into model inference engineering — learning, building, and sharing along the way.
Curated collection of AI inference engineering resources — LLM serving, GPU kernels, quantization, distributed inference, and production deployment. Compiled from the AER Labs community.
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
小型金融知识图谱构建流程（neo4j / python / cypher / KG）
Embedded property graph database built for speed. Vector search and full-text search built in. Implements Cypher.
RuVector is a High Performance, Real-Time, Self-Learning Ai, Vector GNN, Memory DB built in Rust.
Neo4j graph construction from unstructured data using LLMs
Database migrations. CLI and Golang library.
A complete starter kit for an Obsidian + Claude Code personal knowledge management system.
CSC802: Distributed Computing [DC] & CSL802: Distributed Computing Lab [DC Lab] | BE Semester VIII | Computer Engineering
A curated list to learn about distributed systems
A PyTorch implementation of the Transformer model in "Attention is All You Need".
collection of text2cypher datasets, evaluations, and finetuning instructions
A simple RoadMap to Natural Language Processing(NLP)
Agent memory for LLMs: 30 runnable Jupyter notebooks covering conversation buffers, vector stores, knowledge graphs, episodic and semantic memory, MemGPT, Mem0, Letta, Zep, Graphiti, LoCoMo benchma…
Instant, ephemeral sandboxes. Perfect for unsafe code execution, AI agents, workflow automations, and more. All with full access, just like a regular computer.
Secure Docker sandbox for running AI coding agents in isolated containers — config-driven, single command, no GUI
A list of back-end related questions you can be inspired from to interview potential candidates, test yourself or completely ignore
All LLD and Machine Coding Rounds Questions and Answers