Akshay Bahadur

Drowsiness_Detection. A simple Drowsiness Detection module for humans. 😴 🚫 🚗

Autopilot. A simple self-driving car module for humans 🚘 🛣️

Emojinator. A simple emoji classifier for humans. 🖖

HandMovementTracking. A simple hand movement tracking module for humans ✍️

Facial-Recognition-using-Facenet. A simple implementation of facial recognition using facenets for humans 🧔 🔍

QuickDraw. A simple implementation of Google's Quick, Draw Project for humans. 🖌️ 🖼️

Socratic. A simple Mathematical utility for Humans 🦉

Digit-Recognizer. A Machine Learning classifier for recognizing the digits for humans 🎰

GymLytics. Visual Analytics of different exercises for humans 🏋️

BreastCancer_Classification. Machine learning classifier for cancer tissues 🔬

Alphabet-Recognition-EMNIST. Alphabet recognition using EMNIST dataset for humans ⚓

Devanagiri-Recognizer. A Hindi Alphabet classifier for humans 🇮🇳

Breast-Cancer-Deep-Learning. Breast Cancer classification using deep neural network 🔬

DigiEncoder. A digit autoencoder for humans 🧬

Smart_Mirror. C

Sort. Implementation of Bubble Sort, Selection Sort, Insertion Sort, Merge Sort & Quick Sort for humans 〽️

Guitar-Learner. Guitar chord detection and classifier for humans 🎸

FaceEncoder. A face autoencoder for humans 👨‍🎤

Emancipation-of-Leetcode. My solutions for leetcode questions for humans.

Explore-ML-Hyderabad-2019. My session at Google Explore ML, Hyderabad 2019 for humans

Breast-Cancer-Neural-Networks. Classifying malignant and benign tumors using Neural Networks 🔬

keras-secure-image. Add-on library for Keras to train on encrypted images for humans 🛡️

3D-Object-Tracking. A simple 3D Object Tracking module for humans 🍺

Emancipation-of-CS229. My machine learning handwritten notes for humans

CrimeRate_Prediction_ML. A simple Time Series Analysis module for humans ⏰

IISc-Bangalore-2019. Material for my session at Indian Institute of Science, Bangalore 2019 for humans.

ObjectTracking. An object tracking for humans 🔬

Automated-Selenium. Python automation for humans 🎯

CricketLytics. Cricket analytics for humans 🏏

MathEw. A Mathematics helper for humans 🦖

Google-DSC-TTT-2019. My session details for DSC Train-the-trainer, September 27, 2019 for humans

ODSC-Boston-2019. My Webinar at ODSC, Boston 2019 for humans

ImageSegmentation. An image segmentation module for humans 🛹

FaceOrienter. A simple face orienter for humans.

Rock-Paper-Scissors-Lizard-Spock. The classic game of Rock-Paper-Scissors, with a twist for humans. 🗿 📝 ✂️ 🦎 🖖

FaceDetection. A face detection module for humans 🧔‍♂️

Ascinator. Convert RGB Image to ASCII format for humans 📇

Block-Chain. A module to understand the working of blockchains for humans 🔗

ODSC-India-2019. My session at Open Data Science Conference, Bangalore 2019 for humans

Spam-Classifier. Spam classifier using text analysis 📈

BLOB. This repository contains all the large files which are referenced across my repos and slides for humans ⛰️

DHS-2019. My session at Data Hack Summit, 2019 for humans

fashion-MNIST. A classifier based on fashion MNIST dataset for humans 🧥

Google-DevFest-Kolkata-2019. My session at Google-DevFest, Kolkata 2019 for humans

Analytics-Vidhya-Webinar-2020. My session at Analytics Vidhya Webinar for humans

ML_Poker. Poker hand prediction using machine learning

Raining-Emoji. A wrapper for emoji rainfall for humans 🌧️ 🐶 🐵 🦁 🐷 🐨

Blink-To-Speak. A Morse Code Translator for Humans 🦮

MachineLearning-CourseEra. Machine Learning Course for humans 📜

NARI-Native-Application-for-Rescue-India. A safety application module for women 👷‍♀️ 🦺

reverse-interview. Questions to ask the company during your interview

BigDL-Tutorials. Step-by-step Deep Leaning Tutorials on Apache Spark using BigDL

akshaybahadur21. akshaybahadur21 for humans 👨‍🚀

DeepLearningExamples. Deep Learning Examples

stanford-tensorflow-tutorials. This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Rectangle_Intersect. A module that gives the overlap area of two rectangles intersection for humans 🥡