chaoshunh Goto Github PK

lab

A customisable 3D platform for agent-based AI research

latihanvspsu

VSP (Borehole Seismic) Modeling & Processing Exercise using Seismic Unix

learn-to-select-data

Code for Learning to select data for transfer learning with Bayesian Optimization

learnanalytics-deeplearning-azure

Learning Materials for Deep Learning on Azure

learning-to-learn

Learning to Learn in TensorFlow

learning-to-optimize-deep-neural-networks

MS Thesis - "Learning to Optimize Deep Neural Networks"

learning-to-optimize-multigrid-solvers

learning_to_optimize

DRL Final Project

learningtocompare_zsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)

learningtooptimize

MSc Thesis project

leetcode

Play Leetcode with different Programming language

leetcode-1

:pencil: Python / C++ 11 Solutions of All LeetCode Questions

leetcode-solutions

🏋️ (Weekly Update) Python / Modern C++ Solutions of All 2030 LeetCode Problems

leetcode101

《LeetCode 101》例题及练习题

lenwell-digital

lina-seismic-playground

Machine Learning/ Deep Learning processing Seismic data

loki

earthquake LOcation by waveform staKIng

lssae

The official implementation of paper "Generalizing to Evolving Domains with Latent Structure-Aware Sequential Autoencoder"

machine-learning-design-patterns-and-mlops

This is a book that is primarily for ML engineers in the enterprise, not ML scientists in academia or industry research labs. which is going to focus on Machine Learning problems and How to chose the best Pattern for our problem

machine_learning_tutorials

Code, exercises and tutorials of my personal blog ! 📝

malenov

Complete tool for training & classifying facies on 3D SEGY seismic using deep neural networks

maml-pytorch

A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.

mapreduce-based-deep-learning

2013 Fall Cloud Computing Project for Nerve Cloud group: MapReduce-Based Deep Learning

mapreduce-machine-learning

Map-Reduce implementation of some machine learning algorithms

meta-optimizer

A meta optimizer

meta-ot

Meta Optimal Transport

mini-batch-ot

A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, color transfer, and gradient flow.

mini_projects

varying mini projects w.r.t deep learning and or machine learning

ml

ml-design-patterns

Source code accompanying O'Reilly book: Machine Learning Design Patterns