Deploy optimized transformer based models in production
DLPrimitives/OpenCL out of tree backend for pytorch
Welcome to the Physics-based Deep Learning Book (v0.1)
In this notebook, we will explore how the colors in the images can be corrected using white balancing techniques such as the white patch algorithm, gray world algorithm, and ground truth algorithm.
The Places365-CNNs for Scene Classification
Introduction to Parallel Programming class code
Compiler for Neural Network hardware accelerators
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
A curated list of neural architecture search (NAS) resources.
Use deep learning to generate and harmonize music in the style of Bach
Practical assignments of the Deep|Bayes summer school 2019
Set of examples of ML approaches implemented in C++
Deep Vision Final Project
Slides for quantstack talks
Implementation of useful algorithm
We will collect data from online forums, and model NLP CNN to have multiple text classification
Folder / directory structure options and naming conventions for software projects
An implementation of wasserstein gan with gradient penalty
Programming accelerated applications with CUDA C/C++, enough to be able to begin work accelerating your own CPU-only applications for performance gains, and for moving into novel computational territory.
Tensorflow tutorial following experiments.