[AAAI'25, CVPRW 2024] Official repository of paper titled "Learning to Prompt with Text Only Supervision for Vision-Language Models".

Memory-optimized training scripts for video models based on Diffusers

This repository gives the official implementation of Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models (WACV 2025)

LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)

Repository for evaluating Pegasus-1 and video-language foundation models

Official repository for "Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition" [ICCV 2023]

[CVPR 2024] MovieChat: From Dense Token to Sparse Memory for Long Video Understanding

[CVPR'23 Highlight] AutoAD: Movie Description in Context.

[MICCAI 2023][Early Accept] Official code repository of paper titled "Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification"

Free MLOps course from DataTalks.Club

(ICCV 2023) Generative Multiplane Neural Radiance for 3D Aware Image Generation.

Radarformer with generative pretraining

Free Data Engineering course!

A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

📊 Path to a free self-taught education in Data Science!

ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL

Deliberate Practice for Learning Python

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

A mindmap summarising Machine Learning concepts, from Data Analysis to Deep Learning.

A mindmap summarising Deep Learning concepts.

A Roadmap to Becoming an AI Engineer — From Zero to AI Engineer 👨🏻‍🚀 🚀

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

Toturials coming with the "data science roadmap" picture.

Text and supporting code for Think Stats, 2nd Edition

DL course co-developed by YSDA, HSE and Skoltech

Methods of data exploration and visualization using Python.

The Data Engineering Cookbook