esun0087 Goto Github PK

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

chinese-word-segmentation-with-bilstm-crf

Chinese word segmentation implemented with state-of-art architecture

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

continuous-bag-of-words

The Continuous Bag-of-Words model (CBOW) is frequently used in NLP deep learning. It is a model that tries to predict words given the context of a few words before and a few words after the target word.

crfs_tensorflow

crowbar

加了注释的、《自制编程语言》一书的、crowbar 语言的源代码。

deep-regex

Code for the paper Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge (EMNLP 2016). http://arxiv.org/abs/1608.03000

dgk_lost_conv

dgk_lost_conv 中文对白语料 chinese conversation corpus

dragon-book-source-code

A Java compiler from the Compilers "Dragon Book"

dropincc.java

A small and easy to use parser generator. Specify your grammar in pure java and compile dynamically. Especially suitable for DSL creation in java.

euler

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fitcurves

Python implementation of Philip J. Schneider's "Algorithm for Automatically Fitting Digitized Curves" from the book "Graphics Gems"

graduate

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

kaggle-action

start practice on kaggle some demo , so excited!

libcppjieba

CppJieba的清爽头文件库

lstm

An LSTM network

lstm-language-model

Pytorch Implementation of LSTM language model

lstm-rnn

long short-term memory for recursive neural network model

matmul

Benchmarking matrix multiplication implementations

native_spark

A new arguably faster implementation of Apache Spark from scratch in Rust

neural-network

神经网络入门：感知器 批量梯度下降 随机梯度下降 多层神经网络

openprotein

A PyTorch framework for prediction of tertiary protein structure

protein-transformer

Predicting protein structure through sequence modeling

pytorch-beginner

pytorch tutorial for beginners

pytorch-nlp

The NLP toolkit use pytorch

pytorch-seq2seq

pytorch-seq2seq is a framework for sequence-to-sequence (seq2seq) models in PyTorch.

pytorch-word2vec

pytorch_chinese_word_segmentation

Chinese word segmentation with the neural seq2seq model implement in pytorch