wjs-cslg Goto Github PK

3d-tensor-based-deep-learning-models-for-predicting-option-price

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

deeponet

Learning nonlinear operators via DeepONet

deepritzmethod

Group project for Deep Learning: Algorithms and Applications in Peking University 2018 Spring. This is a brief survey, discussion and implementation for deep Ritz method.

deepxde

Deep learning library for solving differential equations and more

dp-lstm-differential-privacy-inspired-lstm-for-stock-prediction-using-financial-news

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

hello-world

hope master to provide some suggestion

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

mnist-classification

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

no-cs224n-learning-camp

pho-ices-ml

machine learning repo for work as part of the PHO-ICES Group at the Oden Institute

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

pydens

PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

pytorch-camp

pytorch-course

JULYEDU PyTorch Course

text

Data loaders and abstractions for text and NLP

transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

transformer_time_series

Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)

zixuepytorch

学习