Pinned Repositories
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
awesome-random-forest
Random Forest - a curated list of resources regarding random forest
baseline_baseline
精品旅行服务成单预测
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
cmu-mocap
The CMU mocap dataset in bvh format
deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
inTrees
inTrees package
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)
Coolde's Repositories
Coolde/deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
Coolde/LearningToCompare_FSL
PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)
Coolde/rethinking-network-pruning
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
Coolde/awesome-meta-learning
A curated list of Meta-Learning resources/papers.
Coolde/awesome-model-compression-and-acceleration
a list of awesome papers on deep model ompression and acceleration
Coolde/cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
Coolde/cnnimageretrieval-pytorch
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
Coolde/cvpr2019
cvpr2019 papers
Coolde/defragTrees
Python code for tree ensemble interpretation
Coolde/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
Coolde/ECG_pro
心电图智能分类项目
Coolde/Facial-Similarity-with-Siamese-Networks-in-Pytorch
Implementing Siamese networks with a contrastive loss for similarity learning
Coolde/GBDT
A simple GBDT in Python
Coolde/Hadamard-Matrix-for-hashing
Hamamard matrix can generate hash centers for image and video hashing
Coolde/interviews
Everything you need to know to get the job.
Coolde/Lpbox-ADMM
A generic optimization method for any integer programming problem
Coolde/Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
Coolde/pytorch-adversarial-training
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
Coolde/pytorch-cifar
95.16% on CIFAR10 with PyTorch
Coolde/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)
Coolde/pytorch-classification
Classification with PyTorch.
Coolde/pytorch-OpCounter
Count the FLOPs of your PyTorch model.
Coolde/pytorch-siamese
Siamese Network implementation using Pytorch
Coolde/RandomForests
a 1500 lines simple C++ implementation of RandomForests with detailed comments
Coolde/realistic-ssl-evaluation
Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"
Coolde/SDPoint
Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
Coolde/the-gan-zoo
A list of all named GANs!
Coolde/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
Coolde/Video-Retrieval-C3D
Video Retrieval, 3D ResNet, Triplet Loss, UCF101, Pytorch
Coolde/Video-Retrieval-with-Knowledge-Distillation
Video Retrieval, Knowledge Distillation, UCF101, Pytorch, 3D Resnet