LiangQingYuan's repositories
NLP-Notebook
NLP学习笔记的Notebook，包含经典模型的理解与相关实践。
awesome_codegeneration
A list of papers and resources dedicated to code generation
OperatingSystems
algorithms of OperatingSystems
RL-Notebook
Reinforcement learning (RL) Notes and Notebooks.
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
BERT-NER-Pytorch
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
CodeXGLUE
CodeXGLUE
cpython
The Python programming language
DenseNet_TensorFlow2
A tensorflow2 implementation of DenseNet (including DenseNet121, DenseNet169, DenseNet201, DenseNet269).
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Dive-into-DL-TensorFlow2.0
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的同意
FNet-pytorch
Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
GNNPapers
Must-read papers on graph neural networks (GNN)
LearningToUpdateNLComments
Learning to Update Natural Language Comments Based on Code Changes: Artifact
leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
LeetCodeAnimation
Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）
liangqingyuan.github.io
blog of liangqy
nndl.github.io
《神经网络与深度学习》 Neural Network and Deep Learning
OptimizationAlgorithmNote
The code of Optimization Algorithm
pointer_summarizer
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
Preferential-Labeling
Preferential Labeling for Unattributed Node Classification in GNNs
pumpkin-book
《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book
Software_Security_Notes
软件安全分析笔记
tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
WikiSQL
A large annotated semantic parsing corpus for developing natural language interfaces.