Karandeep Singh Dhillon's Projects
Code release for "Deep Texture Manifold for Ground Terrain Recognition", CVPR 2018
Implementation of Deep Learning Algorithms using Keras Library
Keras code and weights files for popular deep learning models.
Automatic License Plate Recognition (ALPR) or Automatic Number Plate Recognition (ANPR) software that works with any camera.
Theano-based implementation of Deep Q-learning
DeepFaceLab is a tool that utilizes deep learning to recognize and swap faces in pictures and videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).
Source code for blog post: A Practical Introduction to Deep Learning with Caffe and Python
A list of awesome Deep Learning tutorials, projects and communities. Forked from other github repositories.
WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"
This is the code for NIPS15 paper "Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis"
Notebooks for learning deep learning
A toolkit for making real world machine learning and data analysis applications in C++
This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.
The solution of team 'grt123' in DSB2017
Interactive reports to analyze machine learning models during validation or production monitoring.
:fire: 2D and 3D Face alignment library build using pytorch
A MNIST-like fashion product database. Benchmark :point_right:
Benchmark for different operations in pandas against various dataframe sizes.
Library for fast text representation and classification.
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
An Open Flexible Quadrotor Simulator
PyTorch implementation of Foveation for Segmentation of Ultra-High Resolution Images
Biologically inspired deep learning model for efficient foveal-peripheral vision
Keras implementation of the paper "Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy", by Mostefa Ben naceur et al. (Medical Image Analysis)
Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020)
Code for GAN2Shape (ICLR2021 oral)
starter from "How to Train a GAN?" at NIPS2016
Generative Adversarial Networks implemented in PyTorch and Tensorflow