Tensors and Dynamic neural networks in Python with strong GPU acceleration

At a granular level, PyTorch is a library that consists of the following components:. A replacement for NumPy to use the power of GPUs. A deep learning research platform that provides maximum flexibility and speed. 

Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as aesara: www.github.com/pymc-devs/aesara

Caffe: a fast open framework for deep learning.

Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR)/The Berkeley Vision and Learning Center (BVLC) and community contributors. Check out the project site for all the details like. DIY Deep Learning for Vision with Caffe Tutorial Documentation BAIR reference models and the community model zoo Installation instructions 

Seaborn is a Python visualization library based on matplotlib. It provides a high-level interface for drawing attractive statistical graphics. 

Food Loss Reduction

Data Analysis

scipyby scipy

scipyby scipy

Machine Learning

pytorchby pytorch

pytorchby pytorch

Theanoby Theano

Theanoby Theano

caffeby BVLC

caffeby BVLC

Statistical Analysis

seabornby mwaskom

seabornby mwaskom