[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)

Fast conversions across various Go types with a simple API.

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

Implementation of MAXIM in TensorFlow.

The state-of-art time domain network for speech separation, and it performs well on speech enhancement and music separation

An autonomous, vision-based Bebop drone.

Bridging the gap between Patients and Doctors

A full-fledged yet minimalistic CUDA-based convolutional neural network library from scratch in C++

🏫 Easy to follow text classifying implementation using a Conv. Neural Network (Tensorflow)

MySQL migration query auto generate from schema

Slice conversion between primitive types

Go common package. conv、dispatcher、log、pool、rate…

Neural Computing and Deep Learning Course - Fall 2022

conv accelerate 基本的卷积加速算法

Classic Convolutional Models

implementation of conv and filter matlab function

Commandline converter utility that supports a wide range of conversions

The goal of this assignment is twofold: (i) train a CNN model from scratch and learn how to tune the hyperparameters and visualize filters (ii) finetune a pre-trained model