piper's starred repositories
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
EffectiveTensorflow
TensorFlow tutorials and best practices.
generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
DeepRL-Agents
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
SparseConvNet
Submanifold sparse convolutional networks
QuantEcon.py
A community based Python library for quantitative economics
deepschool.io
Deep Learning tutorials in jupyter notebooks.
DeepRecommender
Deep learning for recommender systems
DeepRLHacks
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
Deep-Learning-Experiments
Videos, notes and experiments to understand deep learning
TF-Tutorials
A collection of deep learning tutorials using Tensorflow and Python
Densenet-Tensorflow
Simple Tensorflow implementation of Densenet using Cifar10, MNIST
skimage-tutorials
skimage-tutorials: a collection of tutorials for the scikit-image package.
tf.gans-comparison
Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking
pytorch-es
Evolution Strategies in PyTorch
oreilly-rl-tutorial
Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.
ResNeXt-Tensorflow
Simple Tensorflow implementation of ResNeXt using Cifar10
bayesian-optimisation
Finding the best parameters for any algorithm
Jetson-RaceCar-AI
Artificial intelligence for Jetson RaceCar
q-learning
C++ implementation of Q-learning