- Portland OR
Lists (2)
Sort Name ascending (A-Z)
Stars
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re…
all of the workflows of n8n i could find (also from the site itself)
📃 A better UX for chat, writing content, and coding with LLMs.
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
TWIX is an open-source data extraction tool that reconstructs structured data from documents at scale, accurately and at low cost, by inferring the shared underlying visual template across documents
Papers about training data quality management for ML models.
An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.
A programming framework for agentic AI 🤖 PyPi: autogen-agentchat Discord: https://aka.ms/autogen-discord Office Hour: https://aka.ms/autogen-officehour
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]
Evaluation and Tracking for LLM Experiments and AI Agents
Programming framework for writing and deploying cloud applications.
A collection of learning resources for curious software engineers
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
HIP: C++ Heterogeneous-Compute Interface for Portability
Development repository for the Triton language and compiler
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".
A list of engineering manager resource links.
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Integrate cutting-edge LLM technology quickly and easily into your apps
Papers from the computer science community to read and discuss.
Creates diagrams from textual descriptions!
this repository accompanies the book "Grokking Deep Learning"