Stars
Fast Python Collaborative Filtering for Implicit Feedback Datasets
Query MCP enables end-to-end management of Supabase via chat interface: read & write query executions, management API support, automatic migration versioning, access to logs and much more.
Model Context Protocol Servers
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
LangGraph Studio template for creating an agent that does web research to genearte or enrich structured data.
FastAPI Best Practices and Conventions we used at our startup
The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Port of OpenAI's Whisper model in C/C++
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Text and code for the second edition of Think Bayes, by Allen Downey.
A beautiful, simple, clean, and responsive Jekyll theme for academics
Understanding Deep Learning - Simon J.D. Prince
Task-based Agentic Framework using StrictJSON as the core
Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
Causal Inference and Discovery in Python by Packt Publishing
a state-of-the-art-level open visual language model | 多模态预训练模型
Reliability diagrams visualize whether a classifier model needs calibration
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
Measuring Massive Multitask Language Understanding | ICLR 2021
ollmer / mmlu
Forked from hendrycks/testMeasuring Massive Multitask Language Understanding | ICLR 2021
Salesforce open-source LLMs with 8k sequence length.
Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models
A large-scale (194k), Multiple-Choice Question Answering (MCQA) dataset designed to address realworld medical entrance exam questions.
Code for ACL 2023 paper "A Close Look into the Calibration of Pre-trained Language Models"