Pinned Repositories
testtime-smoothing-defense
Implementation of NeurIPS workshop paper "An Adaptive View of Adversarial Robustness from Test-time Smoothing Defense"
ar
BoostingMonocularDepth
cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
CS7476
project and homework for CS 7476
Deep-Exemplar-based-Colorization
The source code of "Deep Exemplar-based Colorization".
natural-image-spaces
PDE-thickness
StockHandler
Real-time Chinese stock data collector
thelittlekid's Repositories
thelittlekid/ar
thelittlekid/BoostingMonocularDepth
thelittlekid/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
thelittlekid/Deep-Exemplar-based-Colorization
The source code of "Deep Exemplar-based Colorization".
thelittlekid/deep-painterly-harmonization
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
thelittlekid/natural-image-spaces
thelittlekid/deep_preset
[WACV'21] Deep Preset: Blending and Retouching Photos with Color Style Transfer
thelittlekid/DeepHarmonization
Demo code of the paper: "Deep Image Harmonization", Y.-H. Tsai, X. Shen, Z. Lin, K. Sunkavalli, X. Lu and M.-H. Yang, CVPR 2017
thelittlekid/demosaicnet
A minimal torch implementation of [Gharbi2016]
thelittlekid/DrBokeh-Src
thelittlekid/exposure
An "infinite"-resolution GAN. It additionally produces interpretable results based on a photo editing model and reinforcement learning. (ACM Transactions on Graphics, to be presented at SIGGRAPH 2018)
thelittlekid/FastPhotoStyle
Style transfer, deep learning, feature transform
thelittlekid/foolbox
Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, Keras, …
thelittlekid/gym
A toolkit for developing and comparing reinforcement learning algorithms.
thelittlekid/influence-release
thelittlekid/lid_adversarial_subspace_detection
Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".
thelittlekid/lime
Lime: Explaining the predictions of any machine learning classifier
thelittlekid/maddpg
thelittlekid/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
thelittlekid/models
Models and examples built with TensorFlow
thelittlekid/natural-adversary
Generating Natural Adversarial Examples, ICLR 2018
thelittlekid/PerceptualSimilarity
Learned Perceptual Image Patch Similarity (LPIPS) metric and Berkeley-Adobe Perceptual Patch Similarity (BAPPS) dataset. In CVPR, 2018.
thelittlekid/pointnet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
thelittlekid/pointnet2
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
thelittlekid/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
thelittlekid/segment-anything
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.
thelittlekid/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
thelittlekid/universal
thelittlekid/VPGNet
Lane and road marking detection and recognition via multi-task network guided by vanishing point
thelittlekid/WCT2
Software that can perform photorealistic style transfer without the need of any post-processing steps.