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 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
a lightweight deep-learning framework with ruby
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
This Repository contains the most important parts of my Capstone Project. The project was to build and then compare the performance of traditional ML Algorithms to Deep Learning Algorithms on text data. I learned a lot about Natural Language Processing. Compiled all my findings in a 30-page report as well as my power point presentation.
A simple NumPy-based deep learning framework. Create and train neural networks easily, experiment with backpropagation, optimization, and explore the code to grasp the inner workings.
The most cited deep learning papers.
A torch-like frontend for MindSpore
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