Name: Saksham Sinha
Type: User
Company: Intel Ireland
Bio: Machine Learning Engineer at MSOA, Intel Ireland. Interested in solving real life complex problems using Deep Learning and Computer Vision.
Location: Dublin, Ireland
Blog: https://www.linkedin.com/in/sakshamsinha/
Saksham Sinha's Projects
A curated list of background subtraction related papers and resources
PyImageSearch Ball Tracking
Cracking the Coding Interview, 5th Edition
Object detectors based on DL (from: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html )
Docker repo for details on how to use Kimera-ROS-Librealsense docker image hosted on docker hub
Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)
Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)
Editing Light Fields
A graph-based framework for light field super-resolution.
Light field video applications (e.g. video refocusing, focus tracking, changing aperture and view)
Local Light Field Synthesis (Pratul P. Srinivasan, Tongzhou Wang, Ashwin Sreelal, Ravi Ramamoorthi, Ren Ng ICCV 2017)
Assignment where I used cranfield dataset of 1400 docs and indexed them using lucene. Then I fired 225 queries provided with the datasets and evaluated the docs retrieved by using trec_eval
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
UCB AI Coursework CS188 Pacman Project 1
:fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire:
PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Collection of support scripts to read/write/process light field data
Tensors and Dynamic neural networks in Python with strong GPU acceleration