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admm-pruning

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

adversarial-attacks-and-defenses-on-semantic-segmentation-networks

The repo is a source code for the project on Adversarial examples on Semantic Segmentation Networks

adversarial-training-for-free

Unofficial implementation of the paper 'Adversarial Training for Free'

adversarial_text

Code for Adversarial Training Methods for Semi-Supervised Text Classification

bam

Official PyTorch Implementation of Learning What Not to Segment: A New Perspective on Few-Shot Segmentation (CVPR'22 Oral & TPAMI'23).

bert-aad

Adversarial Adaptation with Distillation for BERT Unsupervised Domain Adaptation

biobert-pytorch

PyTorch Implementation of BioBERT

block.bootstrap.pytorch

BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models

camull_net

An implementation of the Cambridge 3D convolutional network for the classification of Alzheimer's disease.

chessai

使用alphazero算法打造属于你自己的象棋AI

chexnet-with-localization

Weakly Supervised Learning for Findings Detection in Medical Images

cifar10_challenge

A challenge to explore adversarial robustness of neural networks on CIFAR10.

classification-localization-nih

cnn_3d_printing

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

create_tfrecords

cs231n

solutions to stanford cs231 winter2016 assignments

cs231n-1

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

cwt-for-fss

Official code for "Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer. ICCV2021".

dann

pytorch implementation of Domain-Adversarial Training of Neural Networks

deep-infomax

This is a pytorch implementation of Deep-INFOMAX.

deep-subspace-clustering-networks

deepinfomaxpytorch

Learning deep representations by mutual information estimation and maximization

deepwordbug

CodeBase for Paper: "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers", / Interactive Demo @

dfr

distributed_tutorial

domain-adaptation-sentiment-analysis

TODO: Add Description

dpnlp

dpt

Dense Prediction Transformers

draw_line_chart