omkarmehta Goto Github PK

anuvad

An application which allows you to take an image of any English text and translates it to the chosen language

autonomous-driving

aws-services

blog_tryout

classification-on-textual-data

Main purpose of this project is to understand different methods of classifying textual data. I've used "20 newsgroup" dataset. It is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across 20 different newsgroups, each corresponding to a different topic.

classification-on-textual-data-by-unsupervised-learning

Unsupervised learning

climate-data-science

coding-exercises

My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.

collaborative-filtering

Recommendation model based on user-items interactions such as ratings.

cs498-dota2-matches

ds-algo

emojify

endsem_final

entropy-and-persistent-homology

To begin with, I am interested in ways to think about diversity and geography.  One example might be variants of Covid-19, another might be trees ([https://senseable.mit.edu/papers/pdf/20210325_Galle-etal_MappingDiversity_UFUG.pdf](https://senseable.mit.edu/papers/pdf/20210325_Galle-etal_MappingDiversity_UFUG.pdf)).  I would like to see if wildlife data, as in [https://www.inaturalist.org/](https://www.inaturalist.org/), can support the same type of analysis.  Compared to trees, wildlife is perhaps a bit more interesting since some wildlife is carnivorous. I am interested in combining/comparing (in a way I haven't yet figured out) entropy (see the above paper) and persistent homology (see [https://projecteuclid.org/journals/algebraic-and-geometric-topology/volume-7/issue-1/Coverage-in-sensor-networks-via-persistent-homology/10.2140/agt.2007.7.339.full](https://projecteuclid.org/journals/algebraic-and-geometric-topology/volume-7/issue-1/Coverage-in-sensor-networks-via-persistent-homology/10.2140/agt.2007.7.339.full)).  See also [https://www.youtube.com/watch?v=8nUBqawu41k](https://www.youtube.com/watch?v=8nUBqawu41k). Task:  can you download data from [https://www.inaturalist.org/](https://www.inaturalist.org/) so that we can analyze it?  We want: date of observation latitude/longitude of observation what is being observed (we in fact want to use some sort of tree of life classification, as in [https://a-z-animals.com/reference/animal-classification/](https://a-z-animals.com/reference/animal-classification/)) This problem is admittedly still in its infancy.  The immediate win for you would be learning to poke around datasets.  An intermediate win would be visualization and understanding some new tools.  If things work out, I think that this could be an unexpectedly novel combination of tools applied to an interesting problem.

face-recognition

fastai_bs_finder

Implementation of OpenAI paper with Simple Noise Scale on Fastai

fastai_notes

Practice and play with the notebooks

fdnn

heapofheaps

jazz-improvisation

learn_spacy

Learn spacy for text processing

m2cgen

Transform ML models into a native code (Java, C, Python, Go) with zero dependencies

machinehack

machinehacknew

machinelearningandrewng

Solutions of Programming Assignments of Andrew Ng's course in Python

natural-language-processing

neural-networks

nlp-with-python

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

omkar-dash-apps

optimization-methods

Python implementation of the optimization methods: