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Attentive Region Embedding Network for Zero-shot Learning (CVPR 2019)
A JavaScript interface for annotating and labeling audio files.
Classifying 10 different categories of Sound using Deep Learning.
The challenge projects for Inferencing machine learning models on iOS
About this Course This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.
Coursera Getting and Cleaning Data Course Project
The Leek group guide to data sharing
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Learning and replicating famous deep learning models for computer vision tasks
Course materials for the Coursera MOOC: Digital Signal Processing from Ecole Polytechnique Federale de Lausanne
Notebooks for learning deep learning
google it automation with python professional certificate program
General code to convert a trained keras model into an inference tensorflow model
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
Machine learning with Python IBM Coursera 2020
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
mglearn helper package for "Introduction to Machine Learning with Python"
MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
Models and examples built with TensorFlow
Pose Estimation Course
A PyTorch port of Google TensorFlow.js PoseNet (Real-time Human Pose Estimation)
Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.
Creating a software for automatic monitoring in online proctoring
Repository for Programming Assignment 2 for R Programming on Coursera
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
A Machine Learning Project on Rain Prediction
RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.