A latent text-to-image diffusion model

The fastai deep learning library

Python programs, usually short, of considerable difficulty, to perfect particular skills.

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…

A collection of various deep learning architectures, models, and tips

stable diffusion webui colab

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Repo for the Deep Reinforcement Learning Nanodegree program

Repo for the Deep Learning Nanodegree Foundations program.

A Code-First Introduction to NLP course

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

Library for clinical NLP with spaCy.

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

Machine Learning notebooks for refreshing concepts.

Clinical Knowledge Graph (CKG) is a platform with twofold objective: 1) build a graph database with experimental data and data imported from diverse biomedical databases 2) automate knowledge disco…

Precision Medicine Knowledge Graph (PrimeKG)

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

An example attention network with simple dataset.

Understanding and visualizing PyTorch Batching with LSTM

A very simple gesture recognition technique using opencv and python

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed …

A Python Natural Language Processing Toolkit for Medical Text Generation