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My journey through the problems in Project Euler
PyTorch unofficial implementation of Semantic Image Synthesis with Spatially-Adaptive Normalization paper by Nvidia Research
Collection of my implementations of various papers and the stuff I like.
PyTorch implementation of M2Det for object detection model. It is better than SSD, RetinaNet, RefineNet. A good default model for object detection.
Code and all related materials for techgig Artificial Challenge round 2. The goal is to detect free parking lot spaces from cameras images and share it with the drivers to help reduce the time it t…
PyTorch implementation of the paper "Style Transfer by Relaxed Optimal Transport and Self-Similarity". Ability to control regions and points for style transfers. Paper can be found here https://arx…
Based on the paper 'High-Resolution Network for Photorealistic Style Transfer' I provide a PyTorch implementation of the model with trained weights. https://github.com/limingcv/Photorealistic-Style…
PyTorch unofficial implementation of Dual Shot Face Detector paper. It is the base project for my next project blurify.
Useful fastai methods like lr_find, fit_one_cycle in pure PyTorch (no need to import fastai)
Framework for training neural networks by drawing them on paper
Implementation of state of the art techniques for training neural networks in 2019 by Leslie N. Smith in PyTorch
By using real time video from cameras we can make inferences on the amount of traffic after certain amount of time(like traffic after 3 minutes)
Software developed to randomely allocate duties from a given list without repeats and reapeated patterns. Developed in PHP and MySQL
Listing the research papers in the filed of NLP and listing other resources to become an expert in NLP and it's applications.
Listing the various methods and practices used by professional data scientists and data analyists.
Jupyter notebooks for the essential data science and deep learning teaching you the essential components of the libraries.