lql0716 Goto Github PK

kaldi-onnx

Kaldi model converter to ONNX

kcws

Deep Learning Chinese Word Segment

keras-elmo

How to use ELMo embeddings in Keras with Tensorflow Hub

knockknock

🚪👋✊Knock Knock: Be notified when your training ends with only two additional lines of code

knowledgegraph

知识图谱车音工作项目

label-studio

Label Studio is a multi-type data labeling and annotation tool with standardized output format

lama

LAnguage Model Analysis

lhotse

lianjia-beike-spider

链家网和贝壳网房价爬虫，采集北京上海广州深圳等21个**主要城市的房价数据（小区，二手房，出租房，新房），稳定可靠快速！支持csv,MySQL, MongoDB,Excel, json存储，支持Python2和3，图表展示数据，注释丰富 🚁，点星支持

libsvm

libtorch-yolov3

A Libtorch implementation of the YOLO v3 object detection algorithm

linalg

常用线性代数算法的python实现。包括lu、svd、qr、diagonalization、inv、pinv、lstsq、solve Ax、solve nullspace

lql0716.github.io

Artificial Intelligence、Machine Learning、Deep Learning、Computer Vision、Data Mining、 NLP、ASR、Math

lstm-sentiment-analysis

Sentiment Analysis with LSTMs in Tensorflow

machine-learning-surveys

A curated list of Machine Learning Surveys, Tutorials and Books.

machinelearning

机器学习相关内容

madforjekyll.github.io

MAD4Jekyll theme for Jekyll

mahua

http://mahua.jser.me souce code

mango

Mango is a markdown editor for linux, also supports windows and mac osx, powered by NW.js.

matchzoo

Facilitating the design, comparison and sharing of deep text matching models.

meld

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation

memnn

Memory Networks implementations

ml-demos

Python code examples for the feedly Machine Learning blog (https://blog.feedly.com/category/all/Machine-Learning/)

ml-web-app

Train and Deploy Simple Machine Learning Model With Web Interface - Docker, PyTorch & Flask

mnist_dnn

Deep Neural Net classification on Mnist data

models

Models and examples built with TensorFlow

moon

Moon is a minimal, one column jekyll theme.

mvision

机器人视觉 无人驾驶 视觉SLAM ORB LSD SVO DSO 深度学习目标检测yolov3 行为检测 opencv PCL 双目视觉

ncrfpp

NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (code for COLING/ACL 2018 paper)

ngram2vec

Four word embedding models implemented in Python. Supporting arbitrary context features