birdyLinch

VAR

[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

SparK

[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"

SINE

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

gpu_scheduler

pysot

pysot

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

practice

:100: Practice makes perfect

edward

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

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

pytorch-segmentation-detection

Image Segmentation and Object Detection in Pytorch

rllab

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

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"