Robbie Capps's starred repositories
public-apis
A collective list of free APIs
build-your-own-x
Master programming by recreating your favorite technologies from scratch.
developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
quivr
Open-source RAG Framework for building GenAI Second Brains 🧠 Build productivity assistant (RAG) ⚡️🤖 Chat with your docs (PDF, CSV, ...) & apps using Langchain, GPT 3.5 / 4 turbo, Private, Anthropic, VertexAI, Ollama, LLMs, Groq that you can share with users ! Efficient retrieval augmented generation framework
llama_index
LlamaIndex is a data framework for your LLM applications
cosmopolitan
build-once run-anywhere c library
prompttools
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate, LanceDB).
stable-diffusion-webui-directml
Stable Diffusion web UI
UsbAsp-flash
Program allow you to program flash memory on the protocols spi, I2C, MicroWire. Supports CH341a, UsbAsp, AVRISP(LUFA), Arduino, FT232H.
datacube-core
Open Data Cube analyses continental scale Earth Observation data through time
postman2openapi
Convert a Postman collection to an OpenAPI definition.
azureai-samples
Official community-driven Azure AI Examples
ch341ser_linux
USB to serial driver for USB to serial chip ch340, ch341, etc.
aistudio-python-langchain-sample
Quickstart sample for using the Azure AI Studio with the SDK or CLI options - and the LangChain framework.
python-pass
For fun - I have decided to write pass in python
azure-ai-cli
This repository is for active development of the Azure AI CLI. For consumers of the SDK we recommend visiting our public developer docs at https://aka.ms/azaicli
spi-ch341-usb
Linux kernel driver for CH341A USB to SPI and GPIO adapters
torch_to_ggml
convert a saved pytorch model to gguf and generate as much corresponding ggml c code as possible