bayesgroup / deepbayes-2018Links
Seminars DeepBayes Summer School 2018
☆1,046Updated 6 years ago
Alternatives and similar repositories for deepbayes-2018
Users that are interested in deepbayes-2018 are comparing it to the libraries listed below
Sorting:
- Statistical Learning Theory (CS229T) Lecture Notes☆720Updated 5 years ago
- Experiments with Deep Learning☆1,350Updated 2 years ago
- ☆260Updated 6 years ago
- Various tutorials given for welcoming new students at MILA.☆986Updated 7 years ago
- Topics course Mathematics of Deep Learning, NYU, Spring 18☆547Updated 2 years ago
- Practical assignments of the Deep|Bayes summer school 2019☆831Updated 5 years ago
- My solutions to Kevin Murphy Machine Learning Book☆541Updated 5 years ago
- An optimizer that trains as fast as Adam and as good as SGD.☆2,914Updated 2 years ago
- Simple tutorials for building neural networks with TensorFlow Eager mode.☆509Updated 5 years ago
- A curated list of resources dedicated to bayesian deep learning☆416Updated 8 years ago
- A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow☆2,223Updated 2 years ago
- A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017☆887Updated 7 years ago
- A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.☆1,675Updated 4 years ago
- Course notes for CS228: Probabilistic Graphical Models.☆1,969Updated last month
- Enumerate diverse machine learning training tricks.☆421Updated 8 years ago
- Translation of <Machine Learning Yearning> by Andrew NG☆1,339Updated 2 years ago
- A project template to simplify building and training deep learning models using Keras.☆794Updated 2 years ago
- 🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign☆283Updated 6 years ago
- The basic distribution probability Tutorial for Deep Learning Researchers☆1,635Updated 4 years ago
- a repo sharing Bayesian Neural Network recent papers☆216Updated 6 years ago
- Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind☆842Updated 6 years ago
- 简单粗暴 TensorFlow (1.X) | A Concise Handbook of TensorFlow (1.X) | 此版本不再更新,新版见 https://tf.wiki☆845Updated 4 years ago
- Attempting to make the Deep Learning Book easier to understand.☆1,080Updated 6 years ago
- Notebooks about Bayesian methods for machine learning☆1,877Updated last year
- Probabilistic Torch is library for deep generative models that extends PyTorch☆890Updated last year
- Demo of running NNs across different frameworks☆1,653Updated 2 years ago
- A curated list of awesome architecture search resources☆1,188Updated 4 years ago
- MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)☆179Updated 5 years ago
- Deep Learning Architecture Genealogy Project☆1,220Updated 4 years ago
- Topics Course on Deep Learning UC Berkeley☆1,301Updated 7 years ago