liuyapeng24 Goto Github PK

a_journey_into_math_of_ml

汉语自然语言处理视频教程-开源学习资料

astnn

bert

TensorFlow code and pre-trained models for BERT

code-completion

pytorch version of code completion with neural attention and pointer networks

code-prediction-transformer

This repo will contain replication package for the paper "Feeding Trees to Transformers for Code Completion"

code-roadmap

原创编程学习路线，包括全面的知识点、免费资源、面试题、学习建议、项目，适用于所有学习编程、求职的同学。已完成 Java、前端

code2seq

Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"

code2vec

TensorFlow code for the neural network presented in the paper: "code2vec: Learning Distributed Representations of Code"

code_completion_anonymous

This is a repo holding codes for the paper: Code Completion with Neural Attention and Pointer Networks

codebert

CodeBERT

codecompletionimproving

source code of Improving Code Completion by Sequence Features and Structural Features

cs

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fig

flashtorch

Visualization toolkit for neural networks in PyTorch! Demo -->

free-programming-books-zh_cn

:books: 免费的计算机编程类中文书籍，欢迎投稿

galois-autocompleter

Galois is an auto code completer for code editors (or any text editor) based on OpenAI GPT-2.

google-research

Google Research

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

gpt-2-pytorch

Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

intellij-idea-tutorial

IntelliJ IDEA 简体中文专题教程

learningtoupdatenlcomments

Learning to Update Natural Language Comments Based on Code Changes: Artifact

leetcode-master

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

microservicecloud

基于SpringCloud的微服务架构

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

neuralcodecompletion

The implementation of the IJCAI 2018 paper: Code Completion with Neural Attention and Pointer Networks

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

openvocabcodenlm

Contains the code for our ICSE 2020 paper: Big Code != Big Vocabulary: Open-Vocabulary Language Models for Source Code and for its earlier pre-print: Maybe Deep Neural Networks are the Best Choice for Modeling Source Code (https://arxiv.org/abs/1903.05734). This is the first open vocabulary language model for code that uses the byte pair encoding algorithm (BPE) to learn a segmentation of code tokens into subword units.