Manish Rai (Manish-rai21bit)

Manish-rai21bit

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Location:Seattle

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Manish Rai's repositories

training-species-detection

repository for species detection model training

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gtc2017-numba

Numba tutorial for GTC 2017 conference

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Artificial_Intelligence

Concepts, Learnings and Research related to the field of AI

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cocoapi

COCO API - Dataset @ http://cocodataset.org/

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cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

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cv-dark-vs-bright-bg

Utility functions for some of my CV Analysis

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DAMLASB-Assignments

Assignments, Try, and Solutions for Data Analysis and Machine Learning at Scale Course by Prof. James Shanahan

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deep_learning_for_camera_trap_images

This repo contains code+pre-trained models for extracting information from camera-trap images. The pre-trained models have been trained on the Snapshot Serengeti dataset.

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Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn

Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt

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hate-speech-and-offensive-language

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

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LinearAlgebra

Creating this repo for linear anger concepts and visualisation

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machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

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MachineLearningCoursera

Exercises and solutions for Andrew.Ng's coursera course

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models

Models and examples built with TensorFlow

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PandasTutorial

Learning Pandas

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Probability_Statistics

This will cover the crucial topics on Probability & Statistics needed for Data Analysis

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python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

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pytorch_mpiigaze

A PyTorch implementation of MPIIGaze and MPIIFaceGaze

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resume-checklist

Part of Udemy Course on Mastering the Coding Interview

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sklearn-classification

Data Science Notebook on a Classification Task, using sklearn and Tensorflow.

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tensorflow-lifetime-value

Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.

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text-classification-models-tf

Tensorflow implementations of Text Classification Models.

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