Eevee: Towards Close-up High-resolution Video-based Virtual Try-on

Repo for Qwen Image Finetune

A unified library of SOTA model optimization techniques like quantization, pruning, distillation, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks …

Free MLOps course from DataTalks.Club

🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

[CVPR2025] We present StableAnimator, the first end-to-end ID-preserving video diffusion framework, which synthesizes high-quality videos without any post-processing, conditioned on a reference ima…

[ICLR 2025] CatVTON is a simple and efficient virtual try-on diffusion model with 1) Lightweight Network (899.06M parameters totally), 2) Parameter-Efficient Training (49.57M parameters trainable) …

Accelerating network inference over video

Code for our CVPR 2018 paper "Optimizing Video Object Detection via a Scale-Time Lattice".

Learning to See in the Dark. CVPR 2018

Tensorflow implementation of YOLO, including training and test phase.

Notebooks for Machine Learning Undergraduate labs @AUEB

MADE: Masked Autoencoder for Distribution Estimation

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow