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Colab2pdf ⭐ 9

Convert your Colab notebook to a PDF. One-minute install. Zero configuration.

Self Driving Robot Using Neural Network ⭐ 9

This project introduces the autonomous robot which is a scaled down version of actual self-driving vehicle and designed with the help of neural network. The main focus is on building autonomous robot and train it on a designed track with the help of neural network so that it can run autonomously without a controller or driver on that specific track. The robot will stream the video to laptop which will then take decisions and send the data to raspberry pi which will then control the robot using m

📝📝📝Learning Machine Learning/Deep Learning

Google Job Skills ⭐ 9

Having an Exploratory Analysis at what kind of Jobs and Job Locations are provided by Google and Youtube, also we look into some specific details which are important to get hired by youtube and google.

Practical Machine Learning With Tensorflow ⭐ 8

Practical Machine Learning with TensorFlow 2.0

Scientist Clustering Index ⭐ 8

Using kmeans algorithm for clustering Google scholar professors into three distinct clusters.

Learn_dl_together ⭐ 8

JTPA みんなでやろうDL

Pubg Win Prediction Using Ml ⭐ 8

PUBG- PlayerUnknown's BattleGrounds (PUBG)

Artificial Intelligence Toolkit, a powerful tool that makes your life better.

Machine_learning_tutorial ⭐ 7

Gcp Ml Walkthrough ⭐ 7

Flutter_google_cloud_video_intelligence ⭐ 7

Using Google Cloud Video Intelligence in Flutter App to analyze video

Gcp_class ⭐ 7

Google Cloud AI人工智慧與機器學習應用班

Containers Ml And Cloud Computing ⭐ 6

Everything about how to deploy projects on the cloud, run ML workloads on the HPC cluster and on the cloud and the efficient configuration and management of related collaborative platforms [e.g. container orchestration].

Googleplaystore Analytics ⭐ 6

Streamlit Web App + Google Playstore Analysis (50.038 Computational Data Science Project)

Repo 2020 ⭐ 6

Machine Learning, Google Cloud and Quantitative Algorithms for Stocks Trading

Mlcc_starter_guide ⭐ 6

This guide provides basic technical and mathematical background required for Google's Machine Learning Crash Course to beginner.

Transcribe Live Audio ⭐ 6

Transcribe live audio using Google Cloud Speech to Text API

Char Embeddings Ml Engine ⭐ 6

Keras char rnn trainer ready to go on Google ML Engine

Morphl Model Publishers Churning Users ⭐ 6

Google Analytics connector, pre-processor and model for predicting churning users for digital publishers.

Mlforcropyieldforecasting ⭐ 6

Implementation of Machine learning baseline for large-scale crop yield forecasting

Recaptcha Breaker ⭐ 6

Humanising bots for Google ReCaptcha

Nl Bubble ⭐ 6

Cloud Natural Language API + Google App Engine + Firebase Demo WebApp.

Machine Learning Tensorflow Gcp ⭐ 5

Machine Learning with TensorFlow on Google Cloud Platform

Notebooks ⭐ 5

Jupyter notebooks for learning and demonstrations

Hello Ml Engine Predict ⭐ 5

This directory contains samples on how to make an api call to the predict method of Google Cloud ML from a node.js application.

Pocdoc Public ⭐ 5

A One Stop Medical Assistant. Features include: Diary, Symptom Checker, Allergy Finder, Hospital/Pharmacy Finder, and Medication Tracker. Implemented with the use of Firebase and Google ML, and Clarifai.

Deepimagepreview Project ⭐ 5

Android application that uses Machine Learning, Text Recognition API and Google Custom Search Engine in order to provide image preview for text that is picked up from the camera of the device.

Google Colab Cs231n ⭐ 5

Using Google Colaboratory for Jupyter Notebooks

Dino Bot 3000 ⭐ 5

A simple bot to play Google's dinosaur game using neural networks and genetic algorithms to get smarter.

Maskdetection ⭐ 5

Image Classification Web Appl built using Tensorflow.js & Google Cloud AutoML Vision.

Machine Learning Idea Generator ⭐ 5

Find AI and machine learning opportunities to pursue

Google Quest Qa Labeling ⭐ 5

Repository for the "Google QUEST Q&A Labeling" Kaggle competition.

'Google Pathways Language Model 2 (PaLM 2)' as a coding and writing assistant designed for 'R'. With a range of functions, including natural language processing and coding optimization, to assist 'R' developers in simplifying tedious coding tasks and content searching. Imports: httr, jsonlite

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