Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…

An unofficial implementation of both ViT-VQGAN and RQ-VAE in Pytorch

Code accompanying the paper "Generalized Interpolating Discrete Diffusion"

Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are commi…

Code for the paper https://arxiv.org/abs/2205.14987v2

Official implementation for "EGSDE: Unpaired Image-to-Image Translation via Energy-Guided Stochastic Differential Equations" (NIPS 2022)

Codebase for fine-tuning / evaluating nougat-based image2latex generation models

variational Bayes for Ising model parameter estimation

Train deep neural nets to classify phases of 2-D Ising model simulations. Ising model configurations are generated through Monte Carlo simulations.

Implementation of Nougat Neural Optical Understanding for Academic Documents

An extension of the [sdeint](https://github.com/mattja/sdeint) package.

Numerical integration of Ito or Stratonovich SDEs

🤗 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.

⚡ TabPFN: Foundation Model for Tabular Data ⚡

Code for "Deep Signature Transforms" (NeurIPS 2019)

Python to interface with Darknet Yolo V4 (multi GPU with load balancer supported).

Keras Attention Layer (Luong and Bahdanau scores).

Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.