Zhongyi Zhou's repositories
GestureIMT
Gesture-aware Interactive Machine Teaching with In-situ Object Annotations (UIST 22)
ControlNet
Let us control diffusion models!
DeepSeek-MoE
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Dual-Reversed-RS
[ECCV2022 Oral] Bringing Rolling Shutter Images Alive with Dual Reversed Distortion
models
Models and examples built with TensorFlow
pytorch-cifar
95.16% on CIFAR10 with PyTorch
ritm_interactive_segmentation
Reviving Iterative Training with Mask Guidance for Interactive Segmentation
SSD-Tensorflow
Single Shot MultiBox Detector in TensorFlow
viper
Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"
visualblocks
Visual Blocks for ML is a Google visual programming framework that lets you create ML pipelines in a no-code graph editor. You – and your users – can quickly prototype workflows by connecting drag-and-drop ML components, including models, user inputs, processors, and visualizations.