A refactoring of the TensorFlow r0.12 deep mnist for experts tutorial
Python package built to ease deep learning on graph, on top of existing DL frameworks.
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
TensorLayer: Deep Learning and Reinforcement Learning Library for Researcher and Engineer.
My condafied solutions/workthroughs of lessons found at https://github.com/fastai/courses
Distributed training framework for TensorFlow.
My i3 window manager config
Interpretable linear models
Simple examples of use of LSTMs in RNNs in TensorFlow
Open source platform for the machine learning lifecycle
TensorFlow implementation of a Deep Q agent for playing games from OpenAI Gym
Tensors and Dynamic neural networks in Python with strong GPU acceleration
TensorFlow-based neural network library
Deep learning on graphs with Keras.
Hands-on TensorBoard (TensorFlow Dev Summit 2017)
Computation using data flow graphs for scalable machine learning
Repository for experiments with TensorFlow
Testing speed of assign vs feed
A PyTorch library for two-sample tests