First of a series of entries covering automated traffic pattern recognition in specific situations.

Community Curated NLP List. Contribute to alvations/awesome-community-curated-nlp development by creating an account on GitHub.

Natural Language Processing, or NLP for short, is the study of computational methods for working with speech and text data. The field is dominated by the statistical paradigm and machine learning methods are used for developing predictive models. In this…

The full code is available on Github. Word2vec is a very popular Natural Language Processing technique nowadays that uses a neural network to learn the vector representations of words called &#8220…

Natural Language Processing, or NLP, is a subfield of machine learning concerned with understanding speech and text data.

Statistical methods and statistical machine learning dominate the field and more recently deep learning methods have proven very effective…

Proximal Policy Optimization to solve MuJoCo and RoboSchool environments

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP - NVIDIA/OpenSeq2Seq

Read the post on our blog.

CNNs in Tensorflow(cifar-10)

Deep Learning methods achieve state-of-the-art results on a suite of natural language processing problems

What makes this exciting is that single models are trained end-to-end, replacing a suite of specialized statistical models.

The University of Oxford…

tfi - Use any TensorFlow model in a single line of code

Sankey diagrams are not just a cool visualization that looks good, they are perfect for displaying decision trees (e.g., CHART, CHAID).

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner] - yell/mnist-challenge

photo-organizer - Lviv Data Science Summer School 2016 project

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t-SNE is a method for visualizing high dimensional space. It often produces more insightful charts than the alternatives like PCA.

State-of-the-art results with 60x fewer parameters

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear...

Ten thousand books, six million ratings. Contribute to zygmuntz/goodbooks-10k development by creating an account on GitHub.