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Source code for the X Recommendation Algorithm

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Explaining the output of machine learning models with more accurately estimated Shapley values

How to build a multi-label sentiment classifiers with Tez and PyTorch

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Minimal keyword extraction with BERT

CS285 Homework

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

Pytorch starter code for UC Berkeley's cs285 assignments

Berkeley CS285 2019 homework solution

Website for the Upworthy Archive

Collection of probabilistic models and inference algorithms

Implementation of Markov Chain Monte Carlo in Python from scratch

Multi-agent reinforcement learning programs based on Game theory

"Prometheus" research project was developed under the Future of Marketing Initiative (FOMI).

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Pape…

🌀 Stanford CS 228 - Probabilistic Graphical Models

Deep universal probabilistic programming with Python and PyTorch

A deep learning library in C++/CUDA

Deconvolutional Latent-Variable Model for Text Sequence Matching

Code for my ICML 2019 paper "Correlated Variational Auto-Encoders"

The collection of recent papers about variational inference

Linear regression model to predict box office opening weekend gross sales based on genre, rating, release season, and overall cast popularity.

Themes for your IPython Notebook

Answers to 120 commonly asked data science interview questions.

Custom Jupyter Notebook Themes