LiangQingYuan's repositories
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
awesome_codegeneration
A list of papers and resources dedicated to code generation
liangqingyuan.github.io
blog of liangqy
GNNPapers
Must-read papers on graph neural networks (GNN)
CodeXGLUE
CodeXGLUE
Preferential-Labeling
Preferential Labeling for Unattributed Node Classification in GNNs
cpython
The Python programming language
BERT-NER-Pytorch
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
WikiSQL
A large annotated semantic parsing corpus for developing natural language interfaces.
FNet-pytorch
Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms
LearningToUpdateNLComments
Learning to Update Natural Language Comments Based on Code Changes: Artifact
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
tensorboardX
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
pointer_summarizer
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
Software_Security_Notes
软件安全分析笔记
RL-Notebook
Reinforcement learning (RL) Notes and Notebooks.
OperatingSystems
algorithms of OperatingSystems
NLP-Notebook
NLP学习笔记的Notebook,包含经典模型的理解与相关实践。
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
agents
TF-Agents is a library for Reinforcement Learning in TensorFlow
DenseNet_TensorFlow2
A tensorflow2 implementation of DenseNet (including DenseNet121, DenseNet169, DenseNet201, DenseNet269).
OptimizationAlgorithmNote
The code of Optimization Algorithm
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)
nndl.github.io
《神经网络与深度学习》 Neural Network and Deep Learning
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