Highlights
- Pro
Stars
A collection of AI Agents papers (Updated biweekly)
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals
🔥Highlighting the top ML papers every week.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
🦜🔗 Build context-aware reasoning applications
A high-throughput and memory-efficient inference and serving engine for LLMs
OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
PlayStation 4 emulator for Windows, Linux and macOS written in C++
Cloud-native high-performance edge/middle/service proxy
Sample cloud-first application with 10 microservices showcasing Kubernetes, Istio, and gRPC.
Packaged configuration for setting up a Kubernetes cluster with Anthos Service Mesh features enabled
Machine Learning Toolkit for Kubernetes
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A TensorFlow Implementation of the Transformer: Attention Is All You Need
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Generate BERT token level embedding without pain
Reference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"
Compare six baseline deep learning models on TrecQA
TensorFlow code and pre-trained models for BERT