Simon Wang (GnarZiheng)

GnarZiheng

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apachecn-algo-zh

ApacheCN 数据结构与算法译文集

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LeetCode

正确的姿势,学习的态度来刷 LeetCode:高效的代码、简洁的注释、精炼的总结。

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practice-python

Part of my daily plan for studying Python.

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coding-interview-university

A complete computer science study plan to become a software engineer.

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ctci-solutions

Python solutions to Cracking the Coding Interview (6th edition)

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domain_adaptation

this project is the code of domain adaptation referenced by unsupervised domain adaptation by backpropagation(http://machinelearning.wustl.edu/mlpapers/paper_files/icml2015_ganin15.pdf).And i realized it on mnist.

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transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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ddan

Deep domain adaptation networks (DDAN) library for Python with TensorFlow.

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transfer-learning-algorithms

Implementation of many transfer learning algorithms in Python with Jupyter notebooks

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Speech_emotion_recognition_BLSTM

Bidirectional LSTM network for speech emotion recognition.

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speech-emotion-recognition

Detecting emotions using MFCC features of human speech using Deep Learning

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adversarial-feature-augmentation

Code for the paper "Adversarial Feature Augmentation for Unsupervised Domain Adaptation", CVPR 2018

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tf-dann

Domain-Adversarial Neural Network in Tensorflow

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covariate-shift-adaption

An example of using a discriminator to correct for a difference in the distributions between the training and test data.

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densratio_py

A Python Package for Density Ratio Estimation

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awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

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cs131_notes

Class notes for CS 131.

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LSTM-Human-Activity-Recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

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aaltd18

Data augmentation using synthetic data for time series classification with deep residual networks

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ganhacks

starter from "How to Train a GAN?" at NIPS2016

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generate-time-series

Generate synthetic time-series data using DTW and Stochastic Subgradient averaging

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DeepLearningImplementations

Implementation of recent Deep Learning papers

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vae-seq

Variational Auto-Encoders in a Sequential Setting.

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timeseries_gan

A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.

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KerasGAN

A couple of simple GANs in Keras

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Keras-GAN

Keras implementations of Generative Adversarial Networks.

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keras-yolo3-detection

YOLO v3 物体检测算法

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deep-RL-trading

playing idealized trading games with deep reinforcement learning

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Solutions-Stanford-cs131-Computer-Vision-Foundations-and-Application

Full solutions for fall1617 iteration of Stanford course CS131: Computer Vision Foundations and Applications

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cs-video-courses

List of Computer Science courses with video lectures.

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