Popular GitHub Repositories for Chip Persona

Developer AI Persona Search Agent

A list of ICs and IPs for AI, Machine Learning and Deep Learning.

Awesome-llm-role-playing-with-persona: a curated list of resources for large language models for role-playing with assigned personas

Code for testing various M1 Chip benchmarks with TensorFlow.

Repo for paper "Unleashing Cognitive Synergy in Large Language Models: A Task-Solving Agent through Multi-Persona Self-Collaboration"

Repository collecting papers about neuromorphic hardware, such as ASIC and FPGA implementations of SNNs and stuff.

A detailed summary of "Designing Machine Learning Systems" by Chip Huyen. This book gives you and end-to-end view of all the steps required to build AND OPERATE ML products in production. It is a must-read for ML practitioners and Software Engineers Transitioning into ML.

This is a repository for sharing papers in the field of persona-based conversational AI. The related source code for each paper is linked if available.

OpenABC-D is a large-scale labeled dataset generated by synthesizing open source hardware IPs. This dataset can be used for various graph level prediction problems in chip design.

Personalizing Dialogue Agents via Meta-Learning

A Paper List for Personalized, Emotional, and stylized Dialog

Know Me, Respond to Me: Benchmarking LLMs for Dynamic User Profiling and Personalized Responses at Scale

The deployment of the different NN algorithm on the WTM2101, this tutorial covers the entire process of deploying the nn algorithm on the WTM2101 chip, including CIM Chip, mnist data , mapper, project and studio

Example Notebook for Synthetic User Research with Persona Prompting and Autonomous Agents

A **complete rewrite** of the original SuperClaude MCP server with intelligent command routing, dynamic persona switching, and real MCP server orchestration for Gemini CLI.Th

A curated collection of persona-based mcp server & tool groupings.

This repository contains my solutions for the Coursera course TensorFlow: Advanced Techniques Specialization. Expand your knowledge of the Functional API and build exotic non-sequential model types. Learn how to optimize training in different environments with multiple processors and chip types and get introduced to advanced computer vision scenarios such as object detection, image segmentation, and interpreting convolutions. Explore generative deep learning including the ways AIs can create new content from Style Transfer to Auto Encoding, VAEs, and GANs.

Save context for what matters. The last agent you'll ever need.

Deep Neural Network inference using Xilinx Zynq-7000 chip.

Generates ChatGPT/BingChat & GPT-4 prompts using this model trained by Kaludi. Enter a role and a prompt will be generated based on it.