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abitests

aerial_wildlife_detection

Tools for detecting wildlife in aerial images using active learning

ai-for-beginners

12 Weeks, 24 Lessons, AI for All!

ai.econometrics

Deep Neural Networks for 10-K

aioss-platform-poc

#Demo, Illustration, Conceptualization, Content Aggregation

amazon-chime-sdk-js

A JavaScript client library for integrating multi-party communications powered by the Amazon Chime service.

asl_recognition

ASL gesture recognition from the webcam using OpenCV & CNN

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

aws-machine-learning

Guide to pass AWS Machine Learning Specialty Certification

azure-iot-edge-ml-demo

Azure IoT Edge + Movidius Neural Compute Stick ML Demo App

azure-machine-learning-bootcamp

Azure Machine Learning Bootcamp

bonangweb

web

brewcenterapi

An open source api for managing homebrewing related data.

c3d

this project implements action recognition algorithm proposed in C3D: Generic Features for Video Analysis with esimator of Tensorflow

cloud-businessrules-samples

SAP Cloud Platform Business Rules sample projects that can be used as reference content. Users can download and import the content of these projects in their account to understand and learn how-to author and maintain business rules

computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

cortana-intelligence-gallery-content

Tutorials and sample code shown in the Cortana Analytics Gallery (https://gallery.cortanaanalytics.com)

covid-xprize

Open-source repository containing examples and documentation for the Cognizant XPRIZE Pandemic Response Challenge

cs221_project

Activity Recognition in Videos using UCF101 dataset

cs231n.github.io

Public facing notes page

cvtests

dashcloud

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

deeplens-workshops

depthai-experiments

Experimental projects we've done with DepthAI.

distracted_driver_detect_classify

Using deep convolutional neural networks to detect and classify different types of driver distractions. Full project description and modelling process are included, e.g., data analysis and processing a

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fin.ai

AI Financial Markets