adityajn105/cricket_data_extracter

Stars
7
Rank 2,294,772 (Top 46 %)
Language
Python
License
MIT License
Created over 5 years ago
Updated over 5 years ago

adityajn105/cricket_data_extracter

adityajn105

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

A set of python scripts to extract cricket data from https://cricbuzz.com for analytics purpose.

SVM-From-Scratch

An Implementation of SVM - Support Vector Machines using Linear Kernel. This is just for understanding of SVM and its algorithm.

Jupyter Notebook

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.

Jupyter Notebook

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.

Jupyter Notebook

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.

Jupyter Notebook

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.

Jupyter Notebook

flappy-bird-deep-q-learning

Flappy Bird Game trained on a Double Dueling Deep Q Network with Prioritized Experience Replay

Jupyter Notebook

NemisisAadharAuth

This is a project done during April 1-2, 2017 in Smart India Hackathon and won 2nd prize.

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.

Jupyter Notebook

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.

Jupyter Notebook

adityajn105.github.io

Image-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.

Jupyter Notebook

8-Puzzle-using-A-

8-Puzzle game, solvable using A*

Apache-Spark-Tutorials

Apache spark is a big data analysis framework.

Jupyter Notebook

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.

Jupyter Notebook

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 Cognizant

Fun-with-LSTMs-RNNs

A repository demonstrating different examples of LSTM.

Jupyter Notebook

Coursera-Deep-Learning-Specialization

A repository to maintain all programming assignments in Deep Learning Specialization of Coursera

Jupyter Notebook

CSCI-527-autonomous-car-navigation-carla

Jupyter Notebook

Spam-Ham-Email-Classifier

This is a Flask Web App for classifying emails into Spam and Ham. The algorithm uses various libraries.

Jupyter Notebook

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.

Jupyter Notebook

Black-Friday

It is a Data Science competition by Analytics Vidhya. Learn to do feature engineering etc.

Jupyter Notebook