Prashant Nigam (prashant0598)

prashant0598

Geek Repo

Company:@Animall-In

Location:Remote

Home Page:https://www.linkedin.com/in/prashant0598/

Twitter:@prashant0598

Github PK Tool:Github PK Tool


Organizations
Animall-In
bioconda
c2siorg
coala
Coursera-Community
csi-lnmiit
Cybros
dwyl
jekyll
NVIDIAGameWorks
OpenSouce-LNMIIT
opensourcedesign
OpnTec

Prashant Nigam's repositories

Face-Recognition

Face Recognition Project made in Machine Learning using KNN algorithm and open cv for python

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deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

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practicalAI

A practical approach to learning machine learning.

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speaker-deck

A list of all my talks and presentations

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causalml

Uplift modeling and causal inference with machine learning algorithms

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CoffeeApp

Basic CoffeeApp

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course-nlp

A Code-First Introduction to NLP course

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COVID-19

COVID-19 Italia - Monitoraggio situazione

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Fast-F1

FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry

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graduation

$ git remote <graduation> yearbook

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h3

Hexagonal hierarchical geospatial indexing system

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interpret

Fit interpretable machine learning models. Explain blackbox machine learning.

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ipython-notebooks

A collection of IPython notebooks covering various topics.

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mindsdb

Framework to streamline use of neural networks

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mit-license

Hosted MIT License with details controlled through this repo

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MLCC

This repository is created to teach students about Machine Learning and Deep Learning using TensorFlow.

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personal-website

Code that'll help you kickstart a personal website that showcases your work as a software developer.

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pyjaipur.github.io

PyJaipur Website

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research_public

Quantitative research and educational materials

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

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Summer-of-Algorithm

Website for summer of code in PyJaipur

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tfjs-examples

Examples built with TensorFlow.js

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