A library for Deep Learning Implementations and utils

Last update: Dec 12, 2022

Overview

deeply

A Deep Learning library

Features
Quick Start
Usage
License

Features

Python 2.7+ and Python 3.4+ compatible.

Quick Start

$ pip install deeply

Check out installation for more details.

Usage

Application Interface

>>> import deeply

Command-Line Interface

$ deeply
Usage: deeply [OPTIONS] COMMAND [ARGS]...

  A Deep Learning library

Options:
  --version   Show the version and exit.
  -h, --help  Show this message and exit.

Commands:
  help     Show this message and exit.
  version  Show version and exit.

License

This repository has been released under the MIT License.

Made with ❤️ using boilpy.

Owner

Achilles Rasquinha

I write code that automates my job.

GitHub Repository https://deeply.readthedocs.org

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PyArmadillo: an alternative approach to linear algebra in Python

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This source code is implemented using keras library based on "Automatic ocular artifacts removal in EEG using deep learning"

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A library for Deep Learning Implementations and utils

Related tags

Overview

deeply

A Deep Learning library

Table of Contents

Features

Quick Start

Usage

Application Interface

Command-Line Interface

License

Owner

Achilles Rasquinha

LSTMs (Long Short Term Memory) RNN for prediction of price trends

MNIST, but with Bezier curves instead of pixels

ZSL-KG is a general-purpose zero-shot learning framework with a novel transformer graph convolutional network (TrGCN) to learn class representation from common sense knowledge graphs.

PyArmadillo: an alternative approach to linear algebra in Python

Implementation of Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis

This source code is implemented using keras library based on "Automatic ocular artifacts removal in EEG using deep learning"

Image restoration with neural networks but without learning.

Camview - A CLI-tool used to stream CCTV online footage based on URL params

Code for paper 'Hand-Object Contact Consistency Reasoning for Human Grasps Generation' at ICCV 2021

Code for "The Box Size Confidence Bias Harms Your Object Detector"

Some experiments with tennis player aging curves using Hilbert space GPs in PyMC. Only experimental for now.

Header-only library for using Keras models in C++.

Research code for the paper "Variational Gibbs inference for statistical estimation from incomplete data".

Rotation Robust Descriptors

基于AlphaPose的TensorRT加速

Code accompanying the paper "ProxyFL: Decentralized Federated Learning through Proxy Model Sharing"

Official code for paper "Demystifying Local Vision Transformer: Sparse Connectivity, Weight Sharing, and Dynamic Weight"

MIRACLE (Missing data Imputation Refinement And Causal LEarning)

Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning

A PyTorch implementation of EventProp [https://arxiv.org/abs/2009.08378], a method to train Spiking Neural Networks