overshiki / kmeans_pytorchLinks
pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support
☆93Updated 6 years ago
Alternatives and similar repositories for kmeans_pytorch
Users that are interested in kmeans_pytorch are comparing it to the libraries listed below
Sorting:
- ☆65Updated 6 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning☆94Updated 5 years ago
- Full implementation of the paper "Rethinking Softmax with Cross-Entropy: Neural Network Classifier as Mutual Information Estimator".☆101Updated 5 years ago
- Improving Generalization via Scalable Neighborhood Component Analysis☆137Updated last year
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 3 years ago
- PyTorch implementation of shake-drop regularization☆54Updated 5 years ago
- ☆129Updated 2 years ago
- Code for NeurIPS 2019 Paper, "L_DMI: An Information-theoretic Noise-robust Loss Function"☆119Updated 2 years ago
- Improving Consistency-Based Semi-Supervised Learning with Weight Averaging☆186Updated 6 years ago
- ☆62Updated 4 years ago
- homura is a library for fast prototyping DL research☆106Updated 2 years ago
- Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]☆184Updated 5 years ago
- Reproduction of Momentum Contrast for Unsupervised Visual Representation Learning☆120Updated 10 months ago
- An official collection of code in different frameworks that reproduces experiments in "Group Normalization"☆118Updated 4 years ago
- Auto-Encoding Transformations (AETv1), CVPR 2019☆108Updated 5 years ago
- [ICLR 2019] ProbGAN: Towards Probabilistic GAN with Theoretical Guarantees☆32Updated 5 years ago
- Implementation of the reversible residual network in pytorch☆104Updated 3 years ago
- PyTorch Implementation of `No Fuss Distance Metric Learning using Proxies`.☆182Updated 5 years ago
- [ICLR'19] Meta-learning with differentiable closed-form solvers☆115Updated 5 years ago
- "Layer-wise Adaptive Rate Scaling" in PyTorch☆87Updated 4 years ago
- Implementation and experiments for AdamW on Pytorch☆94Updated 5 years ago
- Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"☆82Updated last year
- ☆58Updated last year
- EnAET: Self-Trained Ensemble AutoEncoding Transformations for Semi-Supervised Learning☆81Updated last year
- OD-test: A Less Biased Evaluation of Out-of-Distribution (Outlier) Detectors (PyTorch)☆62Updated last year
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆129Updated 3 years ago
- An implementation of shampoo☆74Updated 7 years ago
- A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.☆239Updated 3 years ago