Coolde's repositories
deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
LearningToCompare_FSL
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
rethinking-network-pruning
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
awesome-meta-learning
A curated list of Meta-Learning resources/papers.
awesome-model-compression-and-acceleration
a list of awesome papers on deep model ompression and acceleration
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
cnnimageretrieval-pytorch
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
defragTrees
Python code for tree ensemble interpretation
ECG_pro
心电图智能分类项目
Facial-Similarity-with-Siamese-Networks-in-Pytorch
Implementing Siamese networks with a contrastive loss for similarity learning
GBDT
A simple GBDT in Python
Hadamard-Matrix-for-hashing
Hamamard matrix can generate hash centers for image and video hashing
interviews
Everything you need to know to get the job.
Lpbox-ADMM
A generic optimization method for any integer programming problem
Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
pytorch-adversarial-training
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
pytorch-cifar
95.16% on CIFAR10 with PyTorch
pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)
pytorch-classification
Classification with PyTorch.
pytorch-OpCounter
Count the FLOPs of your PyTorch model.
pytorch-siamese
Siamese Network implementation using Pytorch
RandomForests
a 1500 lines simple C++ implementation of RandomForests with detailed comments
realistic-ssl-evaluation
Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
SDPoint
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
the-gan-zoo
A list of all named GANs!
time-series-classification-and-clustering
Time series classification and clustering code written in Python. Mostly based on the work of Dr. Eamonn Keogh at University of California Riverside
Video-Retrieval-C3D
Video Retrieval, 3D ResNet, Triplet Loss, UCF101, Pytorch
Video-Retrieval-with-Knowledge-Distillation
Video Retrieval, Knowledge Distillation, UCF101, Pytorch, 3D Resnet