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-drl

李宏毅老师强化学习笔记

ape210k_baseline

用bert4keras来解小学数学应用题

bert

TensorFlow code and pre-trained models for BERT

bp-algorithm

一文彻底搞懂BP算法：原理推导+数据演示+项目实战

china-software-copyright

软著申请Chinese software copyright application template document

deep-time-series-prediction

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

dl-from-scratch

duck_db

c/c++ build a simple b+tree RDMS（利用c/c++ 开发基于B+树的小型关系型数据库 ）

easy-rl

强化学习中文教程，在线阅读地址：https://datawhalechina.github.io/easy-rl/

fairseq-1

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

fast_align

Simple, fast unsupervised word aligner

fourier_neural_operator

Use Fourier transform to learn operators in differential equations.

gradient_descent_compare

梯度下降、随机梯度下降、批量梯度下降 方法之间性能优缺点的对比

keras-docs-zh

Chinese (zh-cn) translation of the Keras documentation.

leetcode-master

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，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

linear-attention-recurrent-neural-network

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

magic-nlper

关于机器学习，深度学习，自然语言处理等各种算法的实现、示例，与博客文章配套，论文复现等

ml-notes

notes about machine learning

ml_mindmap

neural-networks-for-differential-equations

UNIVR PDE course project and just for fun

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

python

All Algorithms implemented in Python

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-in-flask

pytorch style transfer, deploy in flask and vue.

pytorchocr-1

基于Pytorch的OCR工具库，支持常用的文字检测和识别算法

symbolicmathematics

Deep Learning for Symbolic Mathematics

tener

Codes for "TENER: Adapting Transformer Encoder for Named Entity Recognition"

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

universal-style-transfer

论文复现（Universal Style Transfer via Feature Transforms）