Pytorch easy-to-follow step-by-step Deep Q Learning tutorial with clean readable code
A simple template project using PyTorch which can be modified to fit many deep learning projects
An implementation of a simple vanilla GAN model that generates a subset of MNIST numbers (single number recommended) to help MLP and GAN study
Hands on NLTK Tutorial
A hands-on NLTK tutorial in the form of Jupyter notebooks
Stats 337: Readings in Applied Data Science
Readings in a small discussion-oriented applied data science class available to Stanford students in Spring 2018
Open Computational Neuroscience Resources
A publicly-editable collection of open computational neuroscience resources
A self-service, highly-accurate, and lightweight wake word detection engine. It enables developers to build always-listening voice-enabled applications/platforms
Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.
A performance tuning tool for Apache Spark with built-in Spark Scheduler simulator
Visualizer for deep learning and machine learning models
Descriptive mAchine Learning EXplanations
Tensorflow implementation of the NIPS paper “Toward Multimodal Image-to-Image Translation”
Neural coref v2.0
State-of-the-art coreference resolution based on neural nets and spaCy
Stochastic Weight Averaging (SWA)
Stochastic Weight Averaging in PyTorch
NVVL (NVIDIA Video Loader)
A library that uses hardware acceleration to load sequences of video frames to facilitate machine learning training
A Python module to decode video frames directly, using the FFmpeg C API.
Use TensorFlow models in Go to evaluate Images
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