Andrew878's Stars
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
soumith/ganhacks
starter from "How to Train a GAN?" at NIPS2016
rasbt/python-machine-learning-book-2nd-edition
The "Python Machine Learning (2nd edition)" book code repository and info resource
Newmu/dcgan_code
Deep Convolutional Generative Adversarial Networks
krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
mpezeshki/pytorch_forward_forward
Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation
mlss-2019/tutorials
kuc2477/pytorch-deep-generative-replay
PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017
amueller/ml-workshop-2-of-4
Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
zacharyaanglin/ProbabilisticDeepLearningTensorFlow
Material for ODSC Europe presentation -- Probabilistic Deep Learning in TensorFlow, the why and the how
christianhidber/easyagents
Reinforcement Learning for Practitioners.
leodema/RL
PGijsbers/Talks
Repository with my talks (from Nov 2019 onwards).
boschresearch/GP_tutorial
nslatysheva/ODSC_Sequence_Modelling
Files and code for the ODSC tutorial "Sequence Modelling with Deep Learning"
springcoil/pydataprobprog
ProbabilisticProgrammingPrimer for PyData London
GPflow/check_shapes
Library for annotating and checking tensor shapes.