xwl-xwl

Algonauts2021_devkit

Starting code for Algonauts 2021 challenge

CORnet

[NeurIPS'19 Oral] CORnet: Modeling the Neural Mechanisms of Core Object Recognition

Deep-Learning-Book-Chapter-Summaries

Attempting to make the Deep Learning Book easier to understand.

disentangled

dnnbrain

Use DNN to study the brain and use brain measurement to evaluate DNN

linear-ensemble

NeuroGen

Code for paper NeuroGen: activation optimized image synthesis for discovery neuroscience.

nlvr

Cornell NLVR and NLVR2 are natural language grounding datasets. Each example shows a visual input and a sentence describing it, and is annotated with the truth-value of the sentence.

ResT

This is an official implementation for "ResT: An Efficient Transformer for Visual Recognition".

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

xwl-xwl/Algonauts2021_devkit

Starting code for Algonauts 2021 challenge

xwl-xwl/CORnet

[NeurIPS'19 Oral] CORnet: Modeling the Neural Mechanisms of Core Object Recognition

xwl-xwl/Deep-Learning-Book-Chapter-Summaries

Attempting to make the Deep Learning Book easier to understand.

xwl-xwl/disentangled

xwl-xwl/dnnbrain

Use DNN to study the brain and use brain measurement to evaluate DNN

xwl-xwl/linear-ensemble

xwl-xwl/NeuroGen

Code for paper NeuroGen: activation optimized image synthesis for discovery neuroscience.

xwl-xwl/nlvr

Cornell NLVR and NLVR2 are natural language grounding datasets. Each example shows a visual input and a sentence describing it, and is annotated with the truth-value of the sentence.

xwl-xwl/ResT

This is an official implementation for "ResT: An Efficient Transformer for Visual Recognition".

xwl-xwl/Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

xwl-xwl/Swin-Transformer-Serve

Deploy Swin Transformer using TorchServe