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kchar

Character-Aware Neural Language Models. A keras-based implementation

kdd-2019-hands-on

DGL tutorial in KDD 2019

kdictionary-lingoes

A Lingoes dictionary file (LD2/LDX) reader/extractor. Written in C++ with Qt

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

keras-attention

Visualizing RNNs using the attention mechanism

keras-attention-mechanism

Attention mechanism Implementation for Keras.

keras-information-dropout

Keras implementation of the Information Dropout (arXiv:1611.01353) paper

keras-language-modeling

:book: Some language modeling tools for Keras

keras-rl

Deep Reinforcement Learning for Keras.

keras-tqdm

Keras integration with TQDM progress bars

keras-vis

Neural network visualization toolkit for keras

keras_qa

Keras solution to the bAbI tasks using recurrent neural networks - merged as an example into Keras mainline

l3c-pytorch

PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"

labnotebook

LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.

lac

Baidu's open-source lexical analysis tool for Chinese, including word segmentation, part-of-speech tagging & named entity recognition.

lasagne

Lightweight library to build and train neural networks in Theano

laser

Language-Agnostic SEntence Representations

latex_paper_writing_tips

Tips for Writing a Research Paper using LaTeX

ld-net

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

learn-anything

🌍 Search Interactive Mind Maps to learn anything

learningsimplealgorithms

We present an approach for learning simple algorithms such as copying, multi-digit addition and single digit multiplication directly from examples. Our framework consists of a set of interfaces, accessed by a controller. Typical interfaces are 1-D tapes or 2-D grids that hold the input and output data. For the controller, we explore a range of neural network-based models which vary in their ability to abstract the underlying algorithm from training instances and generalize to test examples with many thousands of digits. The controller is trained using Q-learning with several enhancements and we show that the bottleneck is in the capabilities of the controller rather than in the search incurred by Q-learning.

lectures

Oxford Deep NLP 2017 course

lightlm

高性能小模型测评 Shared Tasks in NLPCC 2020. Task 1 - Light Pre-Training Chinese Language Model for NLP Task

luakit

Fast, small, webkit based browser framework extensible by Lua.

macarico

learning to search in pytorch

machine-learning-surveys

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

mann

Neural Turing Machine

markdown-syntax-cn

Markdown 语法简体中文版（fork 于繁体中文版 http://markdown.tw/ ）

math_learning

Learning to Discover Efficient Mathematical Identities

mathematics_dataset