ShahabMokari

2016

RecSys Challenge 2016: job recommendations

Ad-papers

Papers on Computational Advertising

AdvBayesLearnCourse

Course material for the PhD course Advanced Bayesian Learning at Linköping University

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

AnalyticsEdge

APM_Exercises

Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)

awesome-gcp-certifications

Google Cloud Platform Certification resources.

bandits

Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset

Bayesian-Modelling-in-Python

A python tutorial on bayesian modeling techniques (PyMC3)

BERT4Rec-VAE-Pytorch

Pytorch implementation of BERT4Rec and Netflix VAE.

ShahabMokari/awesome-gcp-certifications

Google Cloud Platform Certification resources.

ShahabMokari/BLIP

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

ShahabMokari/centroids-reid

On the Unreasonable Effectiveness of Centroids in Image Retrieval

ShahabMokari/CLIP

Contrastive Language-Image Pretraining

ShahabMokari/CLIP-LoRA

[CVPRW 2024] Low-Rank Adaptation for few-shot Vision-Language Models (CLIP-LoRA): a strong baseline without hyperparameter tuning.

ShahabMokari/clip-training

Code to train CLIP model

ShahabMokari/CLIP4CirDemo

[CVPR 2022 - Demo Track] - Effective conditioned and composed image retrieval combining CLIP-based features

ShahabMokari/ComposeAE

Official code for WACV 2021 paper - Compositional Learning of Image-Text Query for Image Retrieval

ShahabMokari/computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

ShahabMokari/Data-Science-Interview-Questions-Answers

Curated list of data science interview questions and answers

ShahabMokari/EasyTransfer

EasyTransfer is designed to make the development of transfer learning in NLP applications easier.

ShahabMokari/fashion-clip

ShahabMokari/gradient-recs

CLIP-like models are zero-shot recommenders

ShahabMokari/GraphTransformers

Sandbox to analysis and benchmarking Graph Transformer Neural Networks

ShahabMokari/Introduction-to-Deep-Learning-and-Neural-Networks-Course

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

ShahabMokari/Kaleido-BERT

(CVPR2021) Kaleido-BERT: Vision-Language Pre-training on Fashion Domain.

ShahabMokari/LAVIS

LAVIS - A One-stop Library for Language-Vision Intelligence

ShahabMokari/LLM-examples

ShahabMokari/LLM-T2T

Data and code for EMNLP 2023 industry-track paper "Investigating Table-to-Text Generation Capabilities of Large Language Models in Real-World Information Seeking Scenarios"

ShahabMokari/Machine-Learning-for-Imbalanced-Data

Machine Learning for Imbalanced Data, published by Packt

ShahabMokari/Mask2Former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

ShahabMokari/MaskRCNN-Modanet-Fashion-Segmentation-and-Classification

Using modanet fashion dataset, the clothes images were classified under 5 season (summer,winter,spring,autumn,all).

ShahabMokari/OpenAI-CLIP

Simple implementation of OpenAI CLIP model in PyTorch.

ShahabMokari/pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

ShahabMokari/PyTorch-Simple-MaskRCNN

A PyTorch implementation of simple Mask R-CNN

ShahabMokari/segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

ShahabMokari/SLIP

Code release for SLIP Self-supervision meets Language-Image Pre-training

ShahabMokari/TCL

code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022

ShahabMokari/train-CLIP

A PyTorch Lightning solution to training OpenAI's CLIP from scratch.

ShahabMokari/translate