amitkayal Goto Github PK

image-captioning-2

Image Captioning using InceptionV3 and beam search

image-captioning-3

Image Captioning with Keras

image-captioning-clip

image-classification-with-cnn-rf

image-depth-prediction

image_generator

DCGAN image generator 🖼️.

imagecolorization-webapp-using-flask

imagededup

😎 Finding duplicate images made easy!

imagenet

Tiny Imagenet Visual Recognition Challenge

imdb-movie-review

imgaug

Image augmentation for machine learning experiments.

imgaug-doc

Code and assets to generate the documentation of imgaug

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

inkers-assignment-solutions

This repository contains the materials and solutions to inkers External Internship Program

insightface

Face Analysis Project on MXNet

interactive-coding-challenges

Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

interactive_tools

Interactive Tools for Machine Learning, Deep Learning and Math

interpretable-ml-book

Book about interpretable machine learning

intro2stats

Introduction to Statistics using Python

intro_to_unsupervised_ml_with_aws_sagemaker

Materials for the workshop to be delivered at Hack Partners on 27/08/19

introduction-to-opencv

This is a collection of Jupyter notebooks that is intended to provide an introduction to OpenCV's Python interface.

intrototextanalyticswithr

Public repo for the Data Science Dojo YouTube tutorial series "Introduction to Text Analytics with R".

jupyter

Jupyter metapackage for installation, docs and chat

jupyter-book

Build interactive, publication-quality documents from Jupyter Notebooks

jupyter-text2code

A proof-of-concept jupyter extension which converts english queries into relevant python code

jupyter_contrib_nbextensions

A collection of various notebook extensions for Jupyter

kaggle

Codes for Kaggle Competitions

kaggle-histopathologic

In this competition, you must create an algorithm to identify metastatic cancer in small image patches taken from larger digital pathology scans. The data for this competition is a slightly modified version of the PatchCamelyon (PCam) benchmark dataset (the original PCam dataset contains duplicate images due to its probabilistic sampling, however, the version presented on Kaggle does not contain duplicates).

kaggle-house-prices

Kaggle House Prices: Advanced Regression Techniques.Public Leaderboard Score 0.12076.

kaggle-recognizing-faces-in-the-wild

Kaggle - Recognizing faces in the wild rank 28 solutionhttps://www.kaggle.com/c/recognizing-faces-in-the-wild