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[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ult…

Jupyter Notebook 6,501 427 Updated Jan 12, 2025

[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"

Python 1,322 79 Updated Jan 23, 2024

This respository contains the code for the CVPR 2023 paper SINE: SINgle Image Editing with Text-to-Image Diffusion Models.

Python 185 11 Updated Jan 11, 2024
Python 2 1 Updated Mar 16, 2021
1 Updated May 8, 2019

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

Python 4,468 1,110 Updated Nov 12, 2023

💯 Practice makes perfect

C++ 6 2 Updated Nov 15, 2024

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Jupyter Notebook 4,829 757 Updated Mar 18, 2024

A Python implementation of global optimization with gaussian processes.

Python 8,059 1,555 Updated Jan 2, 2025

Image Segmentation and Object Detection in Pytorch

Jupyter Notebook 749 168 Updated Mar 28, 2022

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

Python 2,932 800 Updated Jun 10, 2023

Code and hyperparameters for the paper "Generative Adversarial Networks"

Python 3,931 1,095 Updated May 25, 2020