mehdidc

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/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

mehdidc/compositionality-datasets-merge

mehdidc/vqgan_nodep

VQGAN from LDM without hell of dependencies

mehdidc/paper_parser

mehdidc/PickScore

mehdidc/retrieval_annotations

mehdidc/scaling-laws-openclip

Reproducible scaling laws for contrastive language-image learning (https://arxiv.org/abs/2212.07143)

mehdidc/simple_dedup

mehdidc/ae_gen

mehdidc/any2dataset

Turn any collection of files into a dataset

mehdidc/dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

mehdidc/mehdicherti.github.io

mehdidc/mehdidc.github.io

mehdidc/model2dataset

mehdidc/clip-retrieval

Easily compute clip embeddings and build a clip retrieval system with them

mehdidc/ConvNeXt

Code release for ConvNeXt model

mehdidc/dataset2metadata

mehdidc/dataset2prediction

mehdidc/deit

Official DeiT repository

mehdidc/denoising-diffusion-gan

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs https://arxiv.org/abs/2112.07804

mehdidc/dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

mehdidc/img2dataset

Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

mehdidc/litellm

Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

mehdidc/mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mehdidc/ml-engineering

Machine Learning Engineering Guides and Tools

mehdidc/open-diffusion

Simple large-scale training of stable diffusion with multi-node support.

mehdidc/open_clip

An open source implementation of CLIP.

mehdidc/pHash

pHash - the open source perceptual hash library

mehdidc/slurm-tracking-bot

Simple slurm tracking bot to check usage

mehdidc/stable-diffusion-webui

Stable Diffusion web UI