6478 Open source projects that are alternatives of or similar to Coronawatchnl

[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs

Course materials for the Automating GIS processes -course, University of Helsinki, Finland

Workshop on basic machine learning, computational modeling, psychophysics, basic data analysis and experiment design

Deep Learning introduction and its application in various fields

This repository is for the Data-X project materials

Demos of Plotly's Real-time Streaming API

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

🤖 Poppy Ergo Jr is an open-source robotic arm based on modular 3D printed conception and low-cost XL-320 motors.

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)

Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.

An Interactive Introduction to Fourier Transforms

Code repo for Learning Data Mining with Python, published by Packt Publishing

Clockwork Convnets for Video Semantic Segmenation

A collection of tools for mining government data

Tensorflow implementation of a Hierarchical and Multiscale RNN, described in https://arxiv.org/abs/1609.01704

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

Low-Cost Open Source Ventilator or PAPR

Deep Learning experiments for audio classification

Pytorch tutorials for Neural Style transfert

Simple Training and Deployment of Fast End-to-End Binary Networks

Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"

Introduction to Python for Data Science for PyCon 2018

Use the TPC-DS benchmark to test Spark SQL performance

Codes for my mathematical statistics course

ML study process record

Machine learning lessons and teaching projects designed for engineers

Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python

Using R with Jupyter / RStudio on Binder

쏘카 데이터 그룹 사내 신입/인턴을 대상으로 한 카일 스쿨

Code for ECCV2018 paper: Part-Aligned Bilinear Representations for Person Re-Identification

How to Win a Data Science Competition: Learn from Top Kagglers

BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics

🐍💻📊 All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker" (incl. Slides, Video, Udemy MOOC & other References)

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

Four-in-one deep network: image search, image captioning, similar words and similar images using a single model

A clean and simple data loading library for Continual Learning

《左手MongoDB，右手Redis——从入门到商业实战》书籍配套源代码。

Four Courses Specialization Tensorflow in practise Specialization

[AAAI 2020] Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

"Deep Learning and Quantum Programming" Spring School @ Song Shan Lake

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

DynaSent: Dynamic Sentiment Analysis Dataset

换一种姿势找合适的工作

A small package to create visualizations of PyTorch execution graphs

🔥Urban-scale point cloud dataset (CVPR 2021)

Implementation of "Generating Sequences With Recurrent Neural Networks" https://arxiv.org/abs/1308.0850

Machine Learning for High Energy Physics.

For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.

A Multi-Aspect Multi-Sentiment Dataset for aspect-based sentiment analysis.

Short Course - Applied Machine Learning for Risk Management

Various material around private machine learning, some associated with blog

Repository containing monthly challenges about quantum computing.

This repository consists of all my Machine Learning Projects.

A deep learning approach to predicting breast tumor proliferation scores for the TUPAC16 challenge

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

MXNet Tutorial for NVidia GTC 2016.