Shibo Li's repositories
Scalable-GPRN
Scalable Gaussian Process Regression Networks
Infinite-Fidelity-Coregionalization
Repository of Infinite-Fidelity Coregionalization for Physical Simulation
Adjoint-MAML
Repository of Meta-Learning with Adjoint Methods
LightDDPM
light implementation of diffusion models
AdversarialVariationalBayes
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
CS224N
Stanford NLP class homework
darts
Differentiable architecture search for convolutional and recurrent networks
DPBoost
Privacy-Preserving Gradient Boosting Decision Trees (AAAI 2020)
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
gp-parallel-ts
Parallelised Thompson Sampling in GPs for Bayesian Optimisation
imaml_dev
Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)
MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
neural-flows-experiments
Experiments for Neural Flows paper
PRML
PRML algorithms implemented in Python
pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)