Code for CRATE (Coding RAte reduction TransformEr).

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

A dataset of SMS spam messages embedded using BERT

Robust Bond Portfolio Construction via Convex-Concave Saddle Point Optimization

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

SoftVC VITS Singing Voice Conversion

A Latex Template to presentations from UFG - Federal University of Goiás

Making large AI models cheaper, faster and more accessible

Quantitative Interview Preparation Guide, updated version here ==>

Transportation Networks for Research

"Probabilistic Machine Learning" - a book series by Kevin Murphy

A LaTeX template pack for ieeetran, sigchi, acm-sig-alternate, llncs2e, baposter, nccr-poster and beamer

TMAC: A Toolbox of Modern Async-Parallel, Coordinate, Splitting, and Stochastic Methods

GraSP: a Graph Signal Processing toolbox for Matlab

Graph Learning from Data

Scikit-learn compatible estimation of general graphical models

gradient-free act max for visual neurons

Markov Random Fields for Collaborartive Filtering

Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"

Deep universal probabilistic programming with Python and PyTorch

Gaussian Processes in Pytorch

Probabilistic Programming and Statistical Inference in PyTorch

Gaussian processes in TensorFlow

This code accompanies the proximity variational inference paper.

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

neuronal message passing