wh-forker Goto Github PK

lizherui.github.io

个人博客

lm_memorization

Training data extraction on GPT-2

localizing-visual-sounds-the-hard-way

Localizing Visual Sounds the Hard Way

loss-landscape

Code for visualizing the loss landscape of neural nets

loss-visualization

This project is to visualize the loss landscape of neural networks. This project uses a CAFFE saved model for visualizing the loss landscape

low-rank-bilinear-pooling

Code, demo and model for our project of low rank bilinear pooling for fine-grained classification

lpips-pytorch

A simple and useful implementation of LPIPS.

lq-nets

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

lr-license-plate-generation

A Pytorch implementation about Novel License Plate Generation based on <To learn image super-resolution, use a GAN to learn how to do image degradation first>

lsp-mode

Emacs client/library for the Language Server Protocol

lsq-net

Unofficial implementation of LSQ-Net, a neural network quantization framework

lstm-autoencoder

TensorFlow LSTM-autoencoder implementation

lustscenario

Luxembourg SUMO Traffic (LuST) Scenario

mab

Multi-Armed Bandits(多臂老虎机)

mac-network

Implementation for the paper "Compositional Attention Networks for Machine Reasoning" (Hudson and Manning, ICLR 2018)

macapps

个人收集的一些mac使用的不易找到的app，不断更新中。

macbed

Download links from Google Drive, from apps published on macbed

machine-learning

Homework followed by Coursera. Record learning process.

machine-learning-based-cyber-attacks-targeting-on-controlled-information-a-survey

Brief description about this survey, and related public data source and tools are listed.

machine-learning-flappy-bird

Machine Learning for Flappy Bird using Neural Network and Genetic Algorithm

machine-learning-for-cyber-security

Curated list of tools and resources related to the use of machine learning for cyber security

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machine-learning-notes

周志华《机器学习》手推笔记

machine-learning-notes-1

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

machinelearning

Machine learning algorithms implemented by pure numpy

machinelearningcoursenote

Machine Learning (Hung-yi Lee, NTU)

machinelearninginaction

magenta

Magenta: Music and Art Generation with Machine Intelligence

magnet

Deep Learning Projects that Build Themselves

magpie

Deep neural network framework for multi-label text classification