ascend2018 Goto Github PK

ailearning-theory-applying

快速上手Ai理论及应用实战：基础知识Basic knowledge、机器学习MachineLearning、深度学习DeepLearning2、自然语言处理BERT，持续更新中。含大量注释及数据集，力求每一位能看懂并复现。

awesome-pytorch-chinese

【干货】史上最全的PyTorch学习资源汇总

covid_impact_stocks_volatility

Financial Big Data (FIN-525) final project: The Impact of COVID-19 on Returns and Volatility: a case study of the United States, China, Switzerland and Japan

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

dcrnn_pytorch_highway

A deep neural network model using GRU-based RNN architecture called DCRNN for the big graph problem of traffic forecasting using PyTorch

dsanet

Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".

energydemand

GNNs and Benchmarks for Node-level Load Forecasting

exploring-volatility

One of my assignments in school. My group and I explored different methods to measure volatility (Using daily data, monthly data, etc), as well as different time-series models for fitting and predicting volatility.

fairseq

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

flow-forecast

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

forecasting-tutorials

garch_neural_network

The estimation of GARCH parameters using neural networks

gcn-gan-for-weighted-dynamic-networks

GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks

gnn4traffic

This is the repository for the collection of Graph Neural Network for Traffic Forecasting.

gnnpapers

Must-read papers on graph neural networks (GNN)

google-research

Google Research

informer2020

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

keras-attention-mechanism

Attention mechanism Implementation for Keras.

large-language-models

Notebooks for Large Language Models (LLMs) Specialization

llm-foundation-models

london_bike_forecast

Graph convolutional neural network for forecasting traffic in the London bike-share system, where the graph convolutions pass spatial information between stations, and one-dimensional convolutions pass information from past traffic.

lvvd

Listed Volatility and Variance Derivatives (Wiley Finance)

machine-learning-and-reinforcement-learning-in-finance-specialization

Reinforce Your Career: Machine Learning in Finance. Extend your expertise of algorithms and tools needed to predict financial markets.

machine_learing_study

machinelearning-algorithms

:shell: A summary of 9 mainstream algorithms practice, including : Logistic Regression / Decision Tree / Random Forest / Adaboost / SVM / Clustering / EM / Bayes Network / LDA / HMM.

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

paddlex

PaddlePaddle Entire Process Development Toolkit（『飞桨』深度学习全流程开发工具）

pm2.5-gnn

PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting

pydataroad

open source for wechat-official-account (ID: PythonDataLab)