mehdidc
Deep Learning Researcher
Juelich Supercomputing Center (JSC), Forschungszentrum Jülich GmbH, LAIONGermany
Pinned Repositories
CLIP_benchmark
CLIP-like model evaluation
scaling-laws-openclip
Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)
clip_rerank
Simple script to re-rank images using OpenAI's CLIP https://github.com/openai/CLIP.
DALLE_clip_score
Simple script to compute CLIP-based scores given a DALL-e trained model.
dpp
Determinantal point process
feed_forward_vqgan_clip
Feed forward VQGAN-CLIP model, where the goal is to eliminate the need for optimizing the latent space of VQGAN for each input prompt
pixel_to_svg
Simple unsupervised segmentation based method for turning a raster image into SVG using potrace.
pomodoro
simple command line pomodoro app with visualization of statistics
py-earth
A Python implementation of Jerome Friedman's Multivariate Adaptive Regression Splines
large-scale-pretraining-transfer
Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images" (https://arxiv.org/abs/2106.00116)
mehdidc's Repositories
mehdidc/lda
Topic modeling with latent Dirichlet allocation
mehdidc/charm-automl
mehdidc/charm-ipython-notebook
Charm for iPython Notebook
mehdidc/charm-itorch-notebook
mehdidc/charm-torch
mehdidc/GLRM
mehdidc/health-theano
mehdidc/health_bootcamp
mehdidc/health_bootcamp2
mehdidc/hyperopt-sklearn
Hyper-parameter optimization for sklearn
mehdidc/keepnote-extensions
Extensions for KeepNote - note-taking and organization
mehdidc/MultiBoost
The MultiBoost package is a multi-class / multi-label / multi-task classification boosting software implemented in C++.
mehdidc/pyearth-doc
mehdidc/torch-install
mehdidc/Variational-Autoencoder
Implementation of a variational Auto-encoder