sortteam / kubeFL
Federated Learning Infra Architecture on Kubernetes(EKS)
☆19Updated 5 years ago
Alternatives and similar repositories for kubeFL:
Users that are interested in kubeFL are comparing it to the libraries listed below
- Python package for graph statistics☆9Updated 4 years ago
- Colab notebooks for d2l-book☆11Updated 5 years ago
- Towards Visual Explanations for Convolutional Neural Networks via Input Resampling☆13Updated 7 years ago
- implements various optimizers from scratch for analysis and comparison☆9Updated 5 years ago
- Unsupervised Anomaly Detection via Deep Metric Learning with End-to-End Optimization☆12Updated 2 years ago
- ☆17Updated 6 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Updated 4 years ago
- Large Scale BERT Distillation☆32Updated 2 years ago
- Codes for Category-aware Generative Adversarial Networks (AAAI 2020)☆18Updated 4 years ago
- Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)☆15Updated 3 years ago
- Mining of Massive Datasets - Stanford☆9Updated 7 years ago
- Cost-Effective Object Detection: Active Sample Mining with Switchable Selection Criteria☆12Updated 6 years ago
- [AAAI'21] Modeling Deep Learning Based Privacy Attacks on Physical Mail☆13Updated 4 years ago
- Implements EvoNorms B0 and S0 as proposed in Evolving Normalization-Activation Layers.☆11Updated 5 years ago
- TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques☆31Updated 4 years ago
- Favorite AI papers☆16Updated 7 years ago
- Minimalistic TensorFlow2+ deep metric/similarity learning library with loss functions, miners, and utils as embedding projector.☆37Updated 2 years ago
- ☆17Updated 4 years ago
- The code reproduces the results of the experiments in the paper. In particular, it performs experiments in which machine-learning models …☆20Updated 3 years ago
- List of papers that applied graph network to NLP☆13Updated 6 years ago
- Implemented Split-Brain Autoencoder by Zhang et al.☆8Updated 6 years ago
- The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney☆36Updated 4 years ago
- Files submitted to kdd2018 for EFDT paper☆22Updated 6 years ago
- Official Pytorch Implementation for the paper 'SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients'☆17Updated 3 years ago
- Implementation for NATv2.☆23Updated 4 years ago
- A general method for training cost-sensitive robust classifier☆22Updated 5 years ago
- Author Profiling for Abuse Detection (COLING 2018)☆10Updated 2 years ago
- Directed masked autoencoders☆14Updated 2 years ago
- testing multi gpu for pytorch☆26Updated 6 years ago
- A learning rate recommending and benchmarking tool.☆20Updated last year