isaacmg's Projects
An advanced Google Map
AI Project
Master list of data and research on applying machine learning to COVID-19 and other viruses
An open-source NLP research library, built on PyTorch.
Playing with some basic assembly language and C.
A curated list of awesome Machine Learning frameworks, libraries and software.
list of papers, code, and other resources
This curated list contains python packages for time series analysis
PaddleSoft Backbone
big data
Optional High Level charts API built on top of Bokeh
Interactive Web Plotting for Python
Brandeis Canoe Club Ruby Application*
The revised Brandeis whitewater networking site.
A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)
A pytorch reimplementation of CheXNet
This project is a tool to build CheXNet-like models, written in Keras.
Common resources shared among all task repositories
A simple recursive Ruby program
This repository contains code for the paper "Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context"
Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction
Extracting important things from dash-cam footage.
List of papers, code and experiments using deep learning for time series forecasting
Resources related to using deep learning for time series forecasting, classification, and anomaly detection
How to use ONNX models on Flink streams.
Opinionated stacks of ready-to-run Jupyter applications in Docker.
Accurate answers and instant citations for your documents.
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)