vlievin

fz-openqa

Variational Open-domain Question Answering

biva-pytorch

Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)

booster-pytorch

A lightweight library to ease the training and tracking of deep neural networks with PyTorch. Data structures and paradigms.

char-VAE

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

gan-experiments-pytorch

Experiments with GAN, WGAN, WGAN-GP, DC-GAN, cGAN, AC,GAN and pix2pix

Kaggle-Leaf-classification-using-RNNs

A simple example of how to use RNNs for classification

medical-reasoning

Medical reasoning using large language models

ovis

Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"

Unet

U-Net Model for Image Segmentation Problems using PyTorch 0.4

vod

End-to-end training of Retrieval-Augmented LMs (REALM, RAG)

vlievin/medical-reasoning

Medical reasoning using large language models

vlievin/biva-pytorch

Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)

vlievin/Unet

U-Net Model for Image Segmentation Problems using PyTorch 0.4

vlievin/char-VAE

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

vlievin/ovis

Official code for the "Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds"

vlievin/gan-experiments-pytorch

Experiments with GAN, WGAN, WGAN-GP, DC-GAN, cGAN, AC,GAN and pix2pix

vlievin/booster-pytorch

A lightweight library to ease the training and tracking of deep neural networks with PyTorch. Data structures and paradigms.

vlievin/deep-bayes

Bayesian Regression and Classification models with deep features

vlievin/deep-reader-lda

Project developed in the context of the OI-X challenge at DTU, visit the website for more information.

vlievin/dgm-template

A template for deep generative models

vlievin/serve-lm

Serve `transformers` language models using `litestar`. Mimicks `openai.create` API.

vlievin/whisper-transcript

Transcript videos using Whisper and pyannote (speaker identification)

vlievin/babelDatasets

NLP dataset for PyTorch

vlievin/baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

vlievin/BDA_course_Aalto

Bayesian Data Analysis course at Aalto

vlievin/datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

vlievin/diffusion

Denoising Diffusion Probabilistic Models

vlievin/explainable-dqn-pytorch

PyTorch implementation of the DQN, Dueling DQN and Double DQN. Real-time Saliency visualisation.

vlievin/Ignite-Booster

An interface to PyTorch's ignite and model architecture guidelines for fast prototyping

vlievin/medmcqa.github.io

vlievin/Open-Domain-MedQA

vlievin/physarum

Physarium transport model

vlievin/pix2pix

Image-to-image translation with conditional adversarial nets

vlievin/play-with-diffusion

Play with diffusion models

vlievin/ptan

PyTorch Agent Net: reinforcement learning toolkit for pytorch

vlievin/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

vlievin/textdsets

Text Datasets for PyTorch

vlievin/transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

vlievin/vadam

Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, Gal, and Srivastava

vlievin/vlievin.github.io

personal website