Lists (2)
Stars
Welcome to our Federated Movies Recommendation App.
Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
Python SDK for transforming any AI agent into a production-ready application. Framework-agnostic primitives for runtime, memory, authentication, and tools with AWS-managed infrastructure.
Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.
Course repository for the fall 2023 session of CSC2516 "Neural Networks and Deep Learning" at U of T
Fast and Simple Serverless Functions for Kubernetes
Complexly represent contents, build recommender systems, evaluate them. All in one place!
Unannotated Spanish 3 Billion Words Corpora
Python implementations of the Boruta all-relevant feature selection method.
A playbook for systematically maximizing the performance of deep learning models.
A Configurable Recommender Systems Simulation Platform
This repository compiles prescriptive guidance and code samples for the operationalization of NVIDIA Merlin framework on Google Cloud Vertex AI.
The Ultimate FREE Machine Learning Study Plan
This repo contains the Hugging Face Deep Reinforcement Learning Course.
Best Practices on Recommendation Systems
Spanish word embeddings computed with different methods and from different corpora
Chatbot of the Decide Madrid 2019 system (with and without arguments).
Course repository for the Spring 2022 COMP790 course "Deep Learning" at UNC
pyRecLab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained b…
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.