English»Software»Machine Learning»Deep learning»Miscellaneous | searchivarius.org log in | about Skip to main content Blog Directory Top level » Software » Machine Learning » Deep learning » Miscellaneous A comparison of deep-learning frameworks A comparison of deep-learning frameworks (from Facebook) Autoencoder network for learning a continuous representation of molecular structures. CGT - Computation Graph Toolkit (CGT) is a library for evaluation and differentiation of functions of multidimensional arrays. CleverHans - A library for benchmarking vulnerability to adversarial examples. Deep learning frameworks: Overview Deep learning galery Deep learning software distiller Distributed (Deep) Machine Learning Community - a collection of interesting ML projects with a focus on distributed computation Geometric deep learning gnumpy - a simple Python module that interfaces in a way almost identical to numpy, but does its computations on your computer's GPU. horovod - Distributed training framework for TensorFlow (claimed to be faster than traditional Distributed TensorFlow). Keras.JS - Run trained Keras models in your browser, GPU-powered using WebGL. Models are serialized directly from the Keras JSON-format configuration file and associated HDF5 weights. NNPACK - Acceleration package for neural networks on multi-core CPUs OverFeat - an image recognizer and feature extractor built around a convolutional network. Rapids - a suite of open source software libraries allowing one to execute end-to-end data science and analytics pipelines entirely on GPUs. SqueezeNet - AlexNet-level accuracy with 50x fewer parameters TorchCraft - an interface between StarCraft: Brood War and Torch, the deep learning environment.