Vaibhav Singh's Projects
Image colorisation using Gans.
Code for building generative models
This is demo file showcasing usage of various Git commands.
A collection of useful .gitignore templates
Deploying Streamlit and FastAPI for TensorFlow image classification on Heroku.
Mini Project on paper "Show, attend and tell: Image Captioning with Visual Attention"
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Multi-label Image Classification using PyTorch
A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.
Keras callbacks for one-cycle training, cyclic learning rate (CLR) training, and learning rate range test.
Container Orchestration Labs
Large-scale language modeling tutorials with PyTorch
Learn OpenCV : C++ and Python Examples
One notebook to learn it all - Algorithms from scratch
Programming assignments from Coursera's Machine Learning course taught by Andrew Ng.
Contains code-works from the Hands on scikit-learn and tensorflow book
Repository contains tasks and exercises made during Udemy course Machine Learning A-Z that I completed in 2017.
Introduction to ML packages for the 6.86x course
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
Rendering a flask app for hand-written digits recognition.
Models and examples built with TensorFlow
MLP, CNN, RNN, LSTM from scratch
Training neural models with structured signals.
Implementing of the "A Neural Algorithm of Artistic Style"
Tutorial notebooks on numpy, pandas and matplotlib.
All Algorithms implemented in Python
Simple easy to use module to get the intermediate values/activations from chosen Pytorch submodules. Supports submodule annidation and sequential modules.
Implementation of different deep learning models using Pytorch
pytorch tutorial based on jovian.ml and freecodecamp lecture series