abursuc / dldiy-practicalsLinks
Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS
☆22Updated 4 years ago
Alternatives and similar repositories for dldiy-practicals
Users that are interested in dldiy-practicals are comparing it to the libraries listed below
Sorting:
- Automatic differentiation + optimization☆102Updated 6 years ago
- PyMC3-like Interface for Pyro☆38Updated 5 years ago
- Code to reproduce the results of 👇☆18Updated 3 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.☆98Updated 3 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- ☆64Updated 7 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆70Updated 7 years ago
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆87Updated last year
- Probabilistic Programming and Statistical Inference in PyTorch☆111Updated 8 years ago
- Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"☆47Updated 6 years ago
- python experiment management toolset☆15Updated 6 years ago
- Variational Walkback, NIPS'17☆28Updated 8 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- ☆70Updated 5 years ago
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23Updated 7 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆192Updated 2 years ago
- Turning Python into a probabilistic programming language☆19Updated 11 years ago
- Extended Mean Field Restricted Boltzmann Machine☆16Updated 8 years ago
- A python library for stochastic variational inference and differentiable probabilistic programming☆33Updated 6 years ago
- Efficient Unitary Neural Network(EUNN) implementation in Tensorflow☆73Updated 6 years ago
- Open access book on variational Bayesian methods written collaboratively☆28Updated 10 years ago
- Unsupervised learning and generative models in python/pytorch.☆119Updated 2 years ago
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Updated last year
- Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization☆16Updated 6 years ago
- ☆30Updated 3 years ago
- A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")☆40Updated 5 years ago
- Jupyter notebook-post of advanced numpy techniques☆58Updated 6 years ago
- Layered distributions using FLAX/JAX☆10Updated 4 years ago
- Quasi-Newton Algorithm for Stochastic Optimization☆10Updated 3 years ago