The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

A clear, concise, simple yet powerful and efficient API for deep learning.

Infrastructures™ for Machine Learning Training/Inference in Production.

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

A lightweight deep learning library

benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.

implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)

Flow-based data pre-processing for deep learning

N3LDG++ is a powerful deep leraning framework, aiming at supporting flexible NLP research, especially those requiring different computation graphs among samples, due to its ability of NLP-models-biased automatic batching.

A keras-like API deep learning framework,realized by Numpy only.Support CNN, RNN, LSTM, Dense, etc.

Deep Learning in pure C++

A deep learning library with static computational graph and auto-diff in C++.

Super repository is a bash script , which contains a collection of packages, tools, frameworks and repositories from official sources, in one place , It works on several distributions (Debian ,Ubuntu ,Mint ,Kali ,Parrot).

Integrated Deep Learning Engine (IDLE) built on the Existing Deep Learning Framework

XNet Framework: A C# Library aimed towards deep learning development

Research and implementations of Deep Learning / Reinforcement Learning agents and their implementations / applications

DyNet interfaces for Humans

MatterIx is a deep learning framework developed from scratch

This repository is an attempt to create a deep learning framework to aid in faster learning process for newbies in the deep learning field.

Lightweight library to build and train neural networks on the top of Theano

A prototypical, experimental framework to define and execute computational graph to train neural networks.

An easy-to-use deep learning library

Deep Learning Framework from scratch --- translating my Aha! moments into codes --- ⚡ 💡 🔆

SemiFlow is a deep learning framework with auto differentiation and auto shape inference, developing from Numpy. 一个基于Numpy支持自动求导的深度学习框架

Deep Learning Algorithms implemented from scratch using Numpy

natural language processing utilities for agnostic framework

customized darknet (origin: https://github.com/pjreddie/darknet)

DLEC - Deep Learning Emotion Classifier

A custom deep neural network package that gives the liberty to design your deep neural network. The user needs to feed input data and parameters to design a custom Neural Network. The package gives a whole bunch of parameter options to build and train Neural Network as per the requirement, predict and evaluate the Network arch. The beauty of the package is that the whole backend prcoessing of the network is executed using Numpy only, and not any of the modern APIs. This gives users a new window to understand the nitty gritty of neural networks, and the mathematics behind them.