Large Concept Models: Language modeling in a sentence representation space

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

Get ready for System Design Interviews using practical examples.

Must-read papers on graph neural networks (GNN)

Learning to Learn in TensorFlow

A Python-embedded modeling language for convex optimization problems.

Training computational graph on top of structured data (string, graph, etc)

WTTE-RNN a framework for churn and time to event prediction

Survival analysis in Python

Bayesian Modeling and Probabilistic Programming in Python

Python script for illustrating Convolutional Neural Networks (CNN) using Keras-like model definitions

Tensorlang, a differentiable programming language based on TensorFlow

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

Efficient Batched Reinforcement Learning in TensorFlow

Perceptions of Probability and Numbers

MagicMirror² is an open source modular smart mirror platform. With a growing list of installable modules, the MagicMirror² allows you to convert your hallway or bathroom mirror into your personal a…

Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for collecting human feedback

Tensorforce: a TensorFlow library for applied reinforcement learning

Constrained Policy Optimization

A Flexible and Powerful Parameter Server for large-scale machine learning

Deep Learning NLP Pipeline implemented on Tensorflow

Oxford Deep NLP 2017 course

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

📙 Amazon Web Services — a practical guide