Bhavesh Singh Bisht's Projects
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Public repo for holding some example airflow dags
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
This is the docker container of Tensorflow implementation of PosetNet on AWS Sagemaker
This is the solution of Top 7% of NLP Disaster Prediction Competition on Kaggle
The Solution ranks in the top 18% submission on Kaggle with a public score of 0.38
This the implementation of Breast Cancer detection, which is a classification problem on kaggle, which consists of many models using tensorflow
Corpus and annotations for the CL-Aff Shared Task from the University of Pennsylvania
This repo, contains the assignments for the NLP Deep learning specialization on Coursera by Andrew NG, (deeplearning.ai)
A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera
Cycle Gan for generating Monet and photo paintings. This consist of 2 generators and 2 discriminators
PyTorch package for the discrete VAE used for DALLΒ·E.
Deploy your Deep learning container algorithms on Amazon Sagemaker. I have deployed Tensorflow based container trained on the famous titanic dataset.
Deep VAR on MNIST and CIFAR10 Dataset
This repo contains code to understand the connection between client and server in a distributed computing framework. Repo also contains two election algorithms, namely Bully and Ring
Basic Python Django web application using Pycharm.
face liveness detection activate, the script asks the person to generate an action, for example one of the actions they may ask you to do is smile, turn your face to the right, get angry, blink, etc. The actions are requested randomly, after fulfilling all the actions it generates a message saying "liveness successful" or "liveness fail"
A library for efficient similarity search and clustering of dense vectors.
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
This a famous problem on Kaggle where we have to predicted monthly sales of different shops with different item_ids. Some of the important features I used were lagged features, holidays, mean encoding and creating combinations of item and shops on data block num level.
Solution which scored the top 10 in the public leaderboard and top 20 in private leaderboard. I have used catboost