Name: ziwangdeng
Type: User
Company: York University
Bio: Posdoc in Applied Mathematics, Senior Data Scientist, ML/DL developer and Web application developer.
Location: 4700 Keele, M3J 1P3, Toronto, Canada
Blog: ziwangdeng.com
ziwangdeng's Projects
Agent-based computational Economics, the Python library that makes AB modelling easier
Python package for accessing and downloading CMIP6 database
Advanced Deep Learning with Keras, published by Packt
Performance analysis of predictive (alpha) stock factors
Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker
Apache Kafka Quick Start Guide, Published by Packt
Artificial Intelligence with Python Second Edition, published by Packt
💸💸 Curated list of investment & finance related resources
Collect super-resolution related papers, data, repositories
A curated list of dedicated resources and applications
Code examples used in the official AWS SDK documentation.
Code Repository for AWS SageMaker, Machine Learning and AI with Python, Published by Packt
The author's officially unofficial PyTorch BigGAN implementation.
Simple Tensorflow implementation of "Large Scale GAN Training for High Fidelity Natural Image Synthesis" (BigGAN)
Python (3.8+) version of CLIMADA
Code and pre-trained model for the algorithm generating visualisations of 3 climate change related events: floods, wildfires and smog.
This repository contains codes for the paper entitled "A CNN-RNN Framework for Crop Yield Prediction"
The Greatest Collection of anything related to finance and crypto
Forecast COVID-19 model
Productivity Tools for Plotly + Pandas
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。
Analytical Web Apps for Python & R. No JavaScript Required.
Apps hosted in the Dash Gallery
Temporal data and codes
Cheat Sheets
Implementation of Convolutional Encoder Decoder Network for short term (0 - 2 hours) weather forecasting.
Stock for Deep Learning and Machine Learning
List of papers, code and experiments using deep learning for time series forecasting
Deep Learning for Post-Processing Ensemble Weather Forecasts
Deep learning approaches for statistical downscaling in climate