Stars
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
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
Probabilistic Programming and Statistical Inference in PyTorch
This code accompanies the proximity variational inference paper.
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.