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academic-kickstart

acnet

ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks

adversarialquerying

A PyTorch implementation of the method found in "Adversarially Robust Few-Shot Learning: A Meta-Learning Approach"

attentional_factorization_machine

TensorFlow Implementation of Attentional Factorization Machine

augmented-neural-odes

Pytorch implementation of Augmented Neural ODEs :sunflower:

automl_survey

awesome-action-recognition

A curated list of action recognition and related area resources

awesome-knowledge-distillation

Awesome Knowledge Distillation

bdhehohai.github.io

bdhehohai的个人主页

bind

Open-source code for "Interpreting Unfairness in Graph Neural Networks via Training Node Attribution".

cartoongan-test-pytorch-torch

Pytorch and Torch testing code of CartoonGAN [Chen et al., CVPR18]

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

cnn-from-scratch

A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset

cse482_nba

The source codes for CSE482 Project in MSU

cse847

Codes for CSE847

da4al

Codes for 'Exploring Minimally Sufficient Representation in Active Learning through Label-Irrelevant Patch Augmentation'

daily-paper-computer-vision

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

deep-mri-reconstruction

Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction: Implementation & Demo

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deepctr-torch

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deepdream-exercise

dtreeviz

A python library for decision tree visualization and model interpretation.

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

feat

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

few-shot-learning

different kinds of method to achieve few-shot learning

fewshot-can

fewshotlocal

Few-Shot Learning with Localization in Realistic Settings

fewshotwithoutforgetting