VibePrompter is a desktop app for visually designing process flows with typed inputs/outputs, validating connections, and exporting diagrams as JSON or LLM-ready prompts. Built with Python and pywe…

"Deep Generative Modeling": Introductory Examples

Official implementation of Hyformer, a joint transformer that unifies a generative decoder with a predictive encoder.

single-cell latent diffusion model

Simultaneous Integration of Gene Expression and Nutrient Availability for Studying the Metabolism of Hepatocellular Carcinoma Cell Lines | Ewelina Węglarz-Tomczak, Thierry D.G.A. Mondeel, Diewertje…

This is the implementation of two automated cell counting pipelines using a CNN-regressor and an ML-based pipeline.

A crash course in diffusion-based models

Code repository of the paper "Variational Stochastic Gradient Descent for Deep Neural Networks" published at

DFloat11 [NeurIPS '25]: Lossless Compression of LLMs and DiTs for Efficient GPU Inference

Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning).

Code for the paper: Mixed Models with Multiple Instance Learning

This is a repository for collecting papers and code in time series domain.

Extension to multivariate unconstrained monotonic functions.

A FastAPI and SQLAlchemy project template with Docker and GitHub Actions.

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…

You like pytorch? You like micrograd? You love tinygrad! ❤️

Code for the NeurIPS 2019 workshop paper "Increasing the Expressivity of a Hyperspherical VAE"

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" https://arxiv.org/abs/2102.02611

Code repository of the paper "BooVAE: Boosting Approach for Continual Learning of VAE" published at NeurIPS 2021. https://arxiv.org/abs/1908.11853

Code repository of the paper "Alleviating Adversarial Attacks on Variational Autoencoders with MCMC" published at NeurIPS 2022. https://arxiv.org/abs/2203.09940

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

A deep learning framework for molecular docking