Tensorboard’s embeddings visualiser is great. You can use it to visualise and explore any set of high dimensional vectors (say, the activations of a hidden layer of a neural net) in a lower-dimensional space.

A python tool for evaluating the quality of sentence embeddings. - facebookresearch/SentEval

Deep recommender models using PyTorch. Contribute to maciejkula/spotlight development by creating an account on GitHub.

TensorFlow tutorials and best practices. Contribute to vahidk/EffectiveTensorflow development by creating an account on GitHub.

Deep learning is an incredibly powerful technology for understanding messy data from the real world—and the TensorFlow machine learning library is the ideal way to harness that power. In this practical report, author Pete Warden, tech lead on the Mobile/Embedded…

Modified implementation of DCGAN focused on generative art. Includes pre-trained models for landscapes, nude-portraits, and others. - robbiebarrat/art-DCGAN

Long Short-Term Memory (LSTM) Recurrent Neural Networks are a powerful type of deep learning suited for sequence prediction problems.

A possible concern when using LSTMs is if the added complexity of the model is improving the skill of your model or is…

Learning SVMs from examples

A TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains. - chrisranderson/beholder

w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images. - LouisFoucard/w-net

Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow - GitHub - omimo/xRBM: Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow

There are wide applications of neural networks in industry. This post is an attempt to intuitively explain one of the applications of word2vec in retail indust

The ultimate guide to machine learning. Simple, plain-English explanations accompanied by math, code, and real-world examples.

Source of latest credible papers, videos and projects on machine learning for scientists and engineers.

Python module + R package to predict the reactions to a given text using a pretrained recurrent neural network. - minimaxir/reactionrnn