A latent text-to-image diffusion model

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.

Google Brain AutoML

An annotated implementation of the Transformer paper.

Taming Transformers for High-Resolution Image Synthesis

Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）

a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

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Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Implementing Siamese networks with a contrastive loss for similarity learning

Bayesian learning and inference for state space models

cell detection in calcium imaging recordings

Embed strange attractors using a regularizer for autoencoders

COCO API Customized for YouTubeVIS evaluation

AlphaTracker is a computer vision pipeline with the practical and real-time advantages , which requires minimal hardware requirements and produces reliable tracking of multiple unmarked animals. An…

CellBox: Interpretable Machine Learning for Perturbation Biology

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Code for Nair et al " An approximate line attractor in the hypothalamus that encodes an aggressive internal state."

A lifting transformer used to generate 3D DeepLabCut estimates for an adult mouse forelimb

Code repo for Ebbesen & Froemke, bioRxiv 2021