TensorRT implementation of the waifu2x super-resolution model for faster image and video upscaling.
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Updated
Jan 26, 2024 - C++
TensorRT implementation of the waifu2x super-resolution model for faster image and video upscaling.
A simple CNN training framework support on CPU and GPU(CUDNN)
cuDNN C++ wrapper.
Code repository for the research paper "Space Efficient Transformer Neural Network"
High-performance Spiking Neural Networks Library Written From Scratch with C++ and Python Interfaces.
Object Detection MicroService C++
High-Performance Memory Optimal CNN
WICWIU(What I can Create is What I Understand)
C++ framework for deep learning
Achilles Mila Deep Neural Network library provides an API to model, train and evaluate Recurrent Neural Networks. Mila utilizes the NVIDIA CUDA runtime and the CuDNN library for high-performance GPU acceleration.
C++ implementation of neural networks library with Keras-like API. Contains majority of commonly used layers, losses and optimizers. Supports sequential and multi-input-output (flow) models. Supports single CPU, Multi-CPU and GPU tensor operations (using cuDNN and cuBLAS).
Tests and benchmarks for cudnn (and in the future, other nvidia libraries)
Thesis: "Autocalibration of monocular cameras for autonomous driving scenarios", carried out in collaboration with Luxoft. This repository contains all the related code and the two implemented solution pipelines for Structure from Motion (SfM) implementation.
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