fninsiima/VC Fork of DataGlacier/VC

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fninsiima/Whitefly-Versioning

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fninsiima/tts

text-to-speech: capture audio from google translate or demo website: speechsynthesis: web speech api

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fninsiima/WebAppServer

codes for the whitefly web app server

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fninsiima/SegmentationEvaluationTechniques

Implementation of gce, ji, ri in python for segmentation evaluation

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fninsiima/UniversityIndividualProgrammingAssignments

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fninsiima/research_papers

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fninsiima/objdet_train_tensorflow_colab Fork of RomRoc/objdet_train_tensorflow_colab

Google Colab (Jupyter) notebook to retrain Object Detection Tensorflow model with custom dataset.

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fninsiima/microscopy-object-detection Fork of jqug/microscopy-object-detection

Mobile point-of-care lab diagnostics

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fninsiima/medium-files

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fninsiima/motion-detection-with-raspberrypi3

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fninsiima/MetadataExtractor

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fninsiima/free-data-science-books Fork of Dhrumilcse/free-data-science-books

Free resources for learning data science

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fninsiima/hello-github-actions

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fninsiima/Kivy-Opencv

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fninsiima/google-cloud-4-words Fork of priyankavergadia/google-cloud-4-words

The Google Cloud Developer's Cheat Sheet

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fninsiima/GuyJavaCode Fork of mcrops/GuyJavaCode

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fninsiima/fninsiima.github.io

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fninsiima/flavisites Fork of ghostfreak3000/flavisites

sites for flavi

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fninsiima/earlyoom Fork of rfjakob/earlyoom

earlyoom - Early OOM Daemon for Linux

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fninsiima/DSI_Projects Fork of YangChenghan/DSI_Projects

General Assembly - Project 1 (Due 5th March 2018)

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fninsiima/dsa-ml-systems Fork of mlatcl/dsa-ml-systems

Repo for teaching materials related to the Data Science Africa course Machine Learning Systems

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fninsiima/docker-whitefly Fork of ghostfreak3000/docker-whitefly

Docker Image to support whitefly count from ailab

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fninsiima/docker-react

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fninsiima/data-science Fork of Dhrumilcse/data-science

:bar_chart: Path to a free self-taught education in Data Science!

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fninsiima/cropmonitoring Fork of solomonnsumba/cropmonitoring

This page shows the real time results from a survey system developed at Makerere University, Uganda, which uses camera-phone input to provide timely data on the health of staple crops. Survey workers (with GPS enabled devices) and agricultural extension workers or farmers (with basic camera phones) can provide data in the form of images taken of the leaves of their crops. Applying computer vision techniques to large sets of such uploaded images, we can automatically classify the state of health of plants, and then map the extent of the disease in a district or country. In this way, more data can be collected, more rapidly and at lower cost, than is possible with traditional survey methods. We concentrate here on cassava, which is the third largest source of carbohydrate for human consumption in the world, and provides more food calories per unit of land than any other staple crop

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fninsiima/CBSD Fork of tjovia/CBSD

Pixel Based Classification Methods in Cassava Brown Streak Disease (CBSD) for Automatic Symptom Measurement

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fninsiima/cbs-python Fork of blippblopp/cbs-python

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fninsiima/CalculatorLibrary

Real pythons guide to CI with CircleCI

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fninsiima/caffe-windows Fork of happynear/caffe-windows

Configure Caffe in one hour for Windows users.

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fninsiima/blog Fork of mode/blog

Data, code, and scripts for the analysis in the Mode blog.

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fninsiima/annotation Fork of bwhite/annotation

Python tools to annotate images

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fninsiima/adsurv

Files for the mcrops adhoc surveillance project

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fninsiima/SchoolInternshipProjects

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