Pratik Bhavsar's repositories
serverless-transformers-on-aws-lambda
Deploy transformers serverless on AWS Lambda
data-science-interview-assignments
Real data science interview assignments
hackathons
This repo contains my hackathon solutions
vaccine_availability
Get vaccine availability in India
semantic-search
[WIP] Behold, semantic-search, built over sentence-transformers to make it easy for search engineers to evaluate, optimise and deploy models for search.
transformers
Implementations of transformer models in pytorch
easy-transformers
Utility functions to work with transformers
deep-learning-notebooks
A collection of some of my deep learning experiments on NLP.
install_Tensorflow_Windows
Installation instructions for Tensorflow GPU on Windows
covid19-tracker
Telegram bots for COVID-19 case updates
transformers-1
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
applyingml
📌 Papers, guides, and mentor interviews on applying machine learning.
aws-csa-2017
Study Notes for AWS Certified Solutions Architect Associate - 2017
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Deep-Learning-with-PyTorch
Deep Learning with PyTorch, published by Packt
Deep-Learning-World
:satellite: Organized Resources for Deep Learning Researchers and Developers
demoji
Accurately find/replace/remove emojis in text strings
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data