naoki-vn634
I'm graduate student studying computer science at Waseda University.
Waseda UniversityTokyo/japan
naoki-vn634's Stars
fyu/lsun
LSUN Dataset Documentation and Demo Code
nv-tlabs/editGAN_release
openai/guided-diffusion
labmlai/labml
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
amusi/CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
sungbinlim/NeuBoots
Neural Bootstrapper (NeuBoots)
automl/nes
Neural Ensemble Search for Uncertainty Estimation and Dataset Shift
luoyan407/predict_trustworthiness
[NeurIPS 2021] Code for Paper "Learning to Predict Trustworthiness with Steep Slope Loss"
google-research/mixmatch
google-research/fixmatch
A simple method to perform semi-supervised learning with limited data.
kekmodel/FixMatch-pytorch
Unofficial PyTorch implementation of "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence"
a-taherkhani/AdaBoost_CNN
kuangliu/pytorch-cifar
95.47% on CIFAR10 with PyTorch
sony/nnabla-rl
Deep reinforcement learning library built on top of Neural Network Libraries
google/edward2
A simple probabilistic programming language.
TorchEnsemble-Community/Ensemble-Pytorch
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
orpatashnik/StyleCLIP
Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
chihkuanyeh/Representer_Point_Selection
code release for Representer point Selection for Explaining Deep Neural Network in NeurIPS 2018
sato9hara/sgd-influence
Python codes for influential instance estimation
sony/nnabla-examples
Neural Network Libraries https://nnabla.org/ - Examples
sony/nnabla
Neural Network Libraries
pokaxpoka/deep_Mahalanobis_detector
Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
frederick0329/TracIn
Implementation of Estimating Training Data Influence by Tracing Gradient Descent (NeurIPS 2020)
stanford-futuredata/selection-via-proxy
gaohuang/SnapshotEnsemble
Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)
geifmany/selectivenet
code for the ICML paper "SelectiveNet - A Deep Neural Network with an Integrated Reject Option"
yoheikikuta/paper-reading
Notes about papers I read (in Japanese)
takashiishida/flooding
[ICML 2020] code for the flooding regularizer proposed in "Do We Need Zero Training Loss After Achieving Zero Training Error?"
drken1215/book_algorithm_solution
拙著「問題解決力を鍛える!アルゴリズムとデータ構造」の補足資料。ソースコードと、章末問題への略解を掲載。
ghmagazine/kagglebook