jimmybarrad Goto Github PK

a-pytorch-tutorial-to-object-detection

SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection

adversarial-feature-augmentation

Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018

ai-job-notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

attention-transfer

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

augmented_cyclegan

biam

[ICCV 2021] Official Pytorch implementation for Discriminative Region-based Multi-Label Zero-Shot Learning SOTA results on NUS-WIDE and OpenImages

ccsa

"Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)

cifar-10-100n

Human annotated noisy labels for CIFAR-10 and CIFAR-100. The website of CIFAR-N is available at http://www.noisylabels.com/.

cnn-benchmarks

Benchmarks for popular CNN models

cycada_release

Code to accompany ICML 2018 paper

dada-aaai2020

Code release for Discriminative Adversarial Domain Adaptation (AAAI2020).

dassl.pytorch

A PyTorch toolbox for domain adaptation and semi-supervised learning.

dataset

The Open Images dataset

deep-coral-tf

A Tensorflow implementation of paper, Deep CORAL: Correlation Alignment for Deep Domain Adaptation

deepclusteradmm-release

An implementation of DeepCluster optimized by ADMM.

deepergnn

Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]

deeplearning

domain-transfer-network

TensorFlow Implementation of Unsupervised Cross-Domain Image Generation

drit

Learning diverse image-to-image translation from unpaired data

gan-compression

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

git-tutorials

Git-Tutorials GIT基本使用教學:memo:

gnnpapers

Must-read papers on graph neural networks (GNN)

gpt4free

The official gpt4free repository | various collection of powerful language models

guoshengkang.github.io

l2c

Learning to Cluster. A deep clustering strategy.

machine-learning-yearning-cn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

ml-tutorial-experiment

Coding the Machine Learning Tutorial for Learning to Learn

moving-semantic-transfer-network

Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation

nerf

Code release for NeRF (Neural Radiance Fields)