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SVM-From-Scratch
An Implementation of SVM - Support Vector Machines using Linear Kernel. This is just for understanding of SVM and its algorithm.brain-tumor-segmentation-unet
Implementation of U-Net from paper "U-Net: Convolutional Networks for Biomedical Image Segmentation" to segment tumor in given MRI images.Face-Recognition-Siamese-Network
A Face Recognition Siamese Network implemented using Keras. Siamese Network is used for one shot learning which do not require extensive training samples for image recognition.MLfromScratch
Library for machine learning where all algorithms are implemented from scratch. Used only numpy.Al-Algos-from-Scratch
Some basic AI/ML/DL algorithms implemented from scratch for understanding purposes.FaceGAN-Generating-Random-Faces
Generate Random Faces which do not exists. I trained a Deep Convolution GAN (DCGAN) on 100k celebrities photos.image-caption-bot
Implementation of 'merge' architecture for generating image captions from paper "What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?" using Keras. Dataset used is Flickr8k available on Kaggle.flappy-bird-deep-q-learning
Flappy Bird Game trained on a Double Dueling Deep Q Network with Prioritized Experience Replaycricket_data_extracter
A set of python scripts to extract cricket data from https://cricbuzz.com for analytics purpose.google_speech_diarization_demo
A demo to show Speech Diarization (seperating audio of different speaker) and converting them to text using Google Cloud Speech API.NLP-projects
NLP related projects for quick reference and revision.Move37
Move37 is a Reinforcement Learning Course by Siraj Raval's The School of AI. This repository is to maintain all codes done during this course.adityajn105.github.io
My websiteImage-Captions-using-visual-attention
Implemenetation of 2016 paper "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention" on Flick30k dataset.Character-Recognition-webapp
Draw random shape on HTML5 canvas and let Deep ConvNet predict it.KaggleSolvedProblem
Data Science problem on Kaggle Solved by me. Keep improving Accuracy.8-Puzzle-using-A-
8-Puzzle game, solvable using A*Apache-Spark-Tutorials
Apache spark is a big data analysis framework.TGS-Salt-Identification-Image-Segmentation-
This is a Kaggle competition on Image Segmentation. We have to identify pixels in seismic images with salt sediment present. Here I will use UNet (Encoder and Decoder) to tackle the challenge.College-Codes
Codes done in MIT Labs during Computer Engineering undergraduate program at SPPU from SE to BE.cognilearn
A set of some Machine Learning utils frequently used by me while working as Data Scientist in CognizantFun-with-LSTMs-RNNs
A repository demonstrating different examples of LSTM.Coursera-Deep-Learning-Specialization
A repository to maintain all programming assignments in Deep Learning Specialization of CourseraCSCI-527-autonomous-car-navigation-carla
Spam-Ham-Email-Classifier
This is a Flask Web App for classifying emails into Spam and Ham. The algorithm uses various libraries.Automatic-kinship-detection
This is a kaggle Challenge. Given a pair of images of 2 faces we have to determine whether they are related or not. Here I have used a Siamese network over VGG-facenet to tackle this problem.Black-Friday
It is a Data Science competition by Analytics Vidhya. Learn to do feature engineering etc.Love Open Source and this site? Check out how you can help us