Deep Learning Framework built entirely using numpy
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Updated
May 28, 2021 - Python
Deep Learning Framework built entirely using numpy
Purely NumPy based API for building deep neural networks.
A fully automated, end to end deep learning based pipeline to detect Deep Fake videos.
a lightweight deep-learning framework with ruby
A prototypical, experimental framework to define and execute computational graph to train neural networks.
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
Multigraph fusion and classification network using graph neural network
Lightweight library to build and train neural networks on the top of Theano
A keras-like API deep learning framework,realized by Numpy only.Support CNN, RNN, LSTM, Dense, etc.
A curated list of awesome Deep Learning tutorials, projects and communities.
Greed is a simple PHP MVC framework built for low entry shared-hosting user.
DLEC - Deep Learning Emotion Classifier
Scripts for iterative training with multiple models and datasets using Caffe framework.
A deep learning library created from scratch
A custom deep neural network package that gives the liberty to design your deep neural network using only NumPy
Tiny Deep Learning framework similar to PyTorch.
This is a mini Deep learning framework that supports automatic differentiation.
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