Tim Lau's repositories
BCD-for-DNNs-PyTorch
Code for Global Convergence of Block Coordinate Descent in Deep Learning (ICML 2019)
bayesian-stat-machine-learning
"Bayesian Statistics & Machine Learning" Reading Group at Northwestern Statistics
BCD-for-DNNs
Training Deep Neural Networks using Block Coordinate Descent Algorithms
BCoAPG-plus
MATLAB Code for the paper "Accelerated Block Coordinate Proximal Gradients with Applications in High Dimensional Statistics"
bregman_prox_langevin_mc
Code for Bregman Proximal Langevin Monte Carlo via Bregman--Moreau Envelopes (ICML 2022)
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
deep-learning-notes
Experiments with Deep Learning
Duke-Tsinghua-MLSS-2017
Duke-Tsinghua Machine Learning Summer School 2017
FAR-HO
Gradient based hyperparameter optimization & meta-learning package for TensorFlow
higher
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
Keras-GAN
Keras implementations of Generative Adversarial Networks.
lmc-atomi
Code for Non-Log-Concave and Nonsmooth Sampling via Langevin Monte Carlo Algorithms
MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
MAML-TensorFlow
Faster and elegant TensorFlow Implementation of paper: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
normalizing-flows-tutorial
Tutorial on normalizing flows.
probability
Probabilistic reasoning and statistical analysis in TensorFlow
PyTorch-Tutorial
Build your neural network easy and fast
PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
Roadmap-of-DL-and-ML
Roadmap of DL and ML, some courses, study notes and paper summary
SGDLibrary
Matlab library for stochastic gradient descent algorithms: Version 1.0.12
TensorFlow-Object-Detection-API-Tutorial-Train-Multiple-Objects-Windows-10
How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows
Tensorflow-Tutorial
Tensorflow tutorial from basic to hard
tensorpack
A Neural Net Training Interface on TensorFlow
variational-inference-with-normalizing-flows
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)