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2020sept._nlp_resources

ai_curriculum

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

aiml--labs

IIITH + talentsprint course

amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

amazon-sagemaker-workshop

Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more

arcgis-python-api

Documentation and samples for ArcGIS API for Python

arcticnet

[CVPRW 2019] ArcticNet: A Deep Learning Solution to Classify Arctic Wetlands

awesome-2vec

Curated list of 2vec-type embedding models

awesome-climate-change-ai

A curated list of awesome things related to Climate change and AI.

awesome-deeplearning-tutorials

Links to useful online tutorials etc. about deep learning

awesome-geospatial

Long list of geospatial tools and resources

awesome-project-management

Awesome lists about Project Management interesting and useful topics.

awesome-remote-sensing-papers

Selection of remote sensing papers

awesome-satellite-imagery-datasets

List of satellite imagery datasets with annotations for computer vision and deep learning

awesome_satellite_benchmark_datasets

forked from Seyed-Ali-Ahmadi/Awesome_Satellite_Benchmark_Datasets

bbcnews-twitter

Python 2.7

bbprednet

Deep Neural Network for predicting bark beetle outbreaks

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

biodiv

India Biodiversity Portal (IBP) - A repository of information designed to harness and disseminate collective intelligence on the biodiversity of the Indian subcontinent.

classification-of-multispectral-satellite-images

Supervised and Unsupervised Classification of Multispectral Satellite Images

classification_models

Classification models trained on ImageNet. Keras.

classifying-different-crop-categories-using-hyperspectral

Nowdays Hyperspectral data are more widely used for crop classification, we are trying to use Deep Learning to for the task of segmentation of Hyperspectral Satellite images to segment different Categories of crops. Data contains 128x128 pixels images having 7 channels or spectrums for input. We used a modified version of U-net for the purpose of Classification.

climada_python

Python (3.8+) version of CLIMADA

cnn-sentinel

Analyzing Sentinel-2 satellite data in Python with Keras (repository of our talks at Minds Mastering Machines 2019 and PyCon 2018)

cookbook

The Data Engineering Cookbook

cookbook-2nd-code

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

coursera-machine-learning

Coursera's Machine Learning by Andrew Ng

cs231

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

custom-scripts

A repository of custom scripts to be used with Sentinel Hub

data-analysis

Data Science Using Python