Pinned Repositories
CENTAUR-Privacy-Federated-Representation-Learning
A PyTorch based repository for Federate Learning with Differential Privacy
DMTRPO
Working paper...
fed_functional_gradient
Federated-Learning-Pytorch
FedRep
FedRep-Double
Fokker-Planck-Self-consistency-jax
LIBOL
Library for Online Learning algorithms
Natural-Gradient-for-Generative-Modelling
SDE_and_WGF
This repo contains the courseware for the mini course "Stochastic Differential Equations and Wasserstein Gradient Flows"
shenzebang's Repositories
shenzebang/LIBOL
Library for Online Learning algorithms
shenzebang/Screen-Method-for-Lasso
Gap-Safe
shenzebang/B_S_architecture
shenzebang/Catalyst
shenzebang/courses
fast.ai Courses
shenzebang/MachineLearning
octave algorithm for some machine learning problems.
shenzebang/MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
shenzebang/maml_rl
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
shenzebang/matlab-mnist-two-layer-perceptron
A two layer perceptron implemented in MatLab to recognize handwritten digits based on the MNIST dataset.
shenzebang/mlpack
mlpack: a scalable C++ machine learning library
shenzebang/osx-terminal-themes
Color schemes for default Mac OS X Terminal.app
shenzebang/pytorch-maml
PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400
shenzebang/rllab
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
shenzebang/scikit-learn
scikit-learn: machine learning in Python
shenzebang/shadowsocks
Something happened
shenzebang/SML-lectures
statistical machine learning lectures by zzh.
shenzebang/subsampled_cubic_regularization
Source code for "Sub-sampled Cubic Regularization for Non-convex Optimization", JM Kohler, A Lucchi, https://arxiv.org/abs/1705.05933
shenzebang/Survey-on-SVM
shenzebang/svrg
shenzebang/TMAC
TMAC: A Toolbox of Modern Async-Parallel, Coordinate, Splitting, and Stochastic Methods