Shubham Wagh's Projects
A collection of infrastructure and tools for research in neural network interpretability.
This is the formula sheet for "Mathematics for Beginners" by Siraj Raval on Youtube
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Models built with TensorFlow
Monocular depth estimation from a single image
Learning Underwater Motion and 3D Reconstruction from Optical and Acoustic Sensors
A 2D toy illustration of Neural Radiance Fields
Visualizer for deep learning and machine learning models
Repository for OpenCV's extra modules
Open source Structure from Motion pipeline
OpenVSLAM: A Versatile Visual SLAM Framework
Package definition for the Rock ROS bridge
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
Point Cloud Library (PCL)
A lightweight neural network framework implementation in Python
Latex code for making neural networks diagrams
solution of exercises of the book "probabilistic robotics"
Repository for the book
Image dataset generator intend to get a large image dataset with minimal effort by grabbing image through the web and generate new ones by image augmentation.
A complete guide of how to upload your package to PyPi and make it installable using pip
All Algorithms implemented in Python
Python bindings to the pointcloud library (pcl)
Python sample codes for robotics algorithms.
Pytorch implementation of convolutional neural network visualization techniques
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
pytorch structural similarity (SSIM) loss
Ray Tracing from scratch in python
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.