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100-days-of-code

Fork this template for the 100 days journal - to keep yourself accountable (multiple languages available)

a-b-testing-analysis

As players progress through the game they will encounter gates that force them to wait some time before they can progress or make an in-app purchase. In this project, we will analyze the result of an A/B test where the first gate in Cookie Cats was moved from level 30 to level 40.

ab-testing-and-predictive-analysis-for-new-menu-launch-using-alteryx

The coffee restaurant will test a new menu in Denver and Chicago using TV ads to see if it boosts profits by at least 18%, justifying the marketing costs, and needs an analysis to decide on a wider rollout.

abnormal_event_detection

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

aima-lisp

Common Lisp implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima3

Artificial Intelligence: A Modern Approach, Python 3 code

amsterdam-airbnb-analysis-story

Python project that performs data exploration on fields such neighbourhoods, room types, accommodates, etc. and gives advice to the municipality of Amsterdam to curb illegal hotel bookings and helps tourists to find a good AirBnB host using interactive Folium maps, interactive plotly graphs, and Sentiment Analysis (NLP - text mining) of review comments.

anaconda-package-data

Conda package download data

andorid_women_safety_app

An android app which can INSTANTLY alert the Guardians( along with user location ) whenever the user is in an emergency situation. It can be triggered just by shaking the android device in which the app is installed.

anomaly-detection-in-cctv-surveillance-videos

This projects detect Anomalous Behavior through live CCTV camera feed to alert the police or local authority for faster response time. We are using Spatio Temporal AutoEncoder and more importantly three models from Keras ie; Convolutional 3D, Convolutional 2D LSTM and Convolutional 3D Transpose. 👮‍♂️👮‍♀️📹🔍🔫⚖

anomaly-detection-in-surveillance-videos

Real-World Anomaly Detection in Surveillance Videos

anomalydetectioncvpr2018

attention-ocr

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

auto-neural-translator-english-to-marathi

Machine translation refers to translating phrases across languages using deep learning and specifically with RNN (Recurrent Neural Nets). Most of these are complex system that is they are combined system of various algorithms. But, at its core, NMT uses sequence-to-sequence ( seq2seq ) RNN cells. Such models could be character level but word level models remain common. ✏🧾📚📰🖋🎤

automated-etl-pipeline-to-analyze-us-security-financial-documents

Financial Documents Analysis in US Security and Exchange Commission

autonomous-drone

This repository intends to enable autonomous drone delivery with the Intel Aero RTF drone and PX4 autopilot. The code can be executed both on the real drone or simulated on a PC using Gazebo. Its core is a robot operating system (ROS) node, which communicates with the PX4 autopilot through mavros. It uses SVO 2.0 for visual odometry, WhyCon for visual marker localization and Ewok for trajectoy planning with collision avoidance.

awesome-for-beginners

A list of awesome beginners-friendly projects.

awesome-project-ideas

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

aws-deepracer

aws-deepracer-workshops

DeepRacer workshop content

aws_deepracer

General Reward Function toolkit for AWS DeepRacer

aws_self_driving-car-aws_deeprace_2019

In 2019 I participated in Amazon Web Services Deep Race Competition in Re:Invent event held every year. I had selected the Toronto Turnpipe Roadmap for simulating my DeepRacer Bot. simulating it using AWS Robomaker and AWS Sagemaker by tuning hyperparameters like track width, degrees of freedom, steer angle and track type. Fastest time to complete laps 1:13 secs with 0.978 Accuracy in Toronto Turnpipe Track field .🖥🚗🛣🕖↩

basic_jarvis

a simple virtual assistant using python and wolframealpha to perform basic functions and operations

black_jack-

Each participant attempts to beat the dealer by getting a count as close to 21 as possible, without going over 21.

bostonhousepricing

businesscard-ocr

Business Card OCR

c3d

C3D is a modified version of BVLC caffe to support 3D ConvNets.

chess_game_app

basic chess game app

cluster-data

Borg cluster traces from Google