ctar's Stars
microsoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
openai/openai-cookbook
Examples and guides for using the OpenAI API
microsoft/autogen
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
QuivrHQ/quivr
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.
modular/mojo
The Mojo Programming Language
guidance-ai/guidance
A guidance language for controlling large language models.
BerriAI/litellm
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
cocktailpeanut/dalai
The simplest way to run LLaMA on your local machine
dottxt-ai/outlines
Structured Text Generation
google-gemini/cookbook
Examples and guides for using the Gemini API
roboflow/notebooks
This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like YOLO11, RT-DETR, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5VL.
gpu-mode/lectures
Material for gpu-mode lectures
opendilab/awesome-RLHF
A curated list of reinforcement learning with human feedback resources (continually updated)
AnswerDotAI/RAGatouille
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
amazon-science/chronos-forecasting
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
bvschaik/julius
An open source re-implementation of Caesar III
ddz16/TSFpaper
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
dabochen/spreadsheet-is-all-you-need
A nanoGPT pipeline packed in a spreadsheet
neulab/prompt2model
prompt2model - Generate Deployable Models from Natural Language Instructions
koaning/bulk
A Simple Bulk Labelling Tool
abgulati/LARS
An application for running LLMs locally on your device, with your documents, facilitating detailed citations in generated responses.
KarelDO/xmc.dspy
In-Context Learning for eXtreme Multi-Label Classification (XMC) using only a handful of examples.
pandoc/pandoc-action-example
using the pandoc document converter on GitHub Actions
raphaelsty/neural-cherche
Neural Search
ammirsm/llamaindex-omakase-rag
This project enhances the construction of RAG applications by addressing challenges, improving accessibility, scalability, and managing data and user access. It uses Django, Llamaindex, and Google Drive for effective database management.
ksteinfe/decodes
a platform agnostic generative design library for 3d designers
sheumann/smbfst
The SMB FST for the Apple IIGS
jbellis/colbert-astra
heiko-hotz/automated-prompt-engineering
A repo that demonstrates how to use Gemini and DSPy to automate prompt engineering
runxel/skylighting-theme
CSS styling for pandoc code made easy.