Michele De Vita

Expert
@Michedev

Simple is beautiful

VAE_anomaly_detection. Python

217

DDPMs-Pytorch. Implementation of various DDPM papers to understand how they work

89

DecisionTreeNim. Decision tree and Random forest implementation in nim

25

diffusion-uncertainty. Official implementation of "Diffusion Model Guided Sampling with Pixel-Wise Aleatoric Uncertainty Estimation"

17

Ant-Dracula-Blue. Ant-Dracula Gnome Theme where the pink components are replaced with blue

16

flow-matching-mnist. Implementation of Flow Matching model for MNIST to understand how it works

16

MONet-pytorch. Pytorch implementation of Multi-Object Network(MONet)

9

sequtils2. nim package that provide additional functions for sequences

9

snail. Pytorch implementation of SNAIL (Simple Neural Attentive Meta-Learner)

6

Prototypical-Networks-Few-Zero-Shot. Pytorch implementation and metric reproduction of the paper Prototypical Networks, including both few shot learning and zero shot experiments (includes dataset for zero shot as well)

4

VLAE. Variational Ladder AutoEncoder implementation in tensorflow 2

4

slot-attention-pytorch. Python

3

bitday-wallpaper-changer. Python script file that changes automatically the wallpaper of your Linux DE

3

NOStream. Extension of classic Java data structures that avoid the use of Stream abstraction in favour of direct list transformation methods

3

Parameterization-Curves-NN. Parameterization for polynomial curves approximation via residual deep neural networks

2

tensorguard. TensorGuard helps to guard against bad Tensor shapes in any tensor based library

2

lightning-hydra-just-template. Template to setup AI project with pytorch lightning, hydra and Just as task runner

2

VQ-VAE. Pytorch Implementation of "Neural Discrete Representation Learning (Van den Oord, 2017)"

1

genesis. Python

1

ATTSW-Project-2. Java

1

FactorVAE. PyTorch implementation of FactorVAE

1

Kiss-cool-nvidia-elementary. Adaptation of Kiss-cool-nvidia theme for elementary OS

1

forecasting-the-past. Python

1
23
Apply