vinsis / understanding-neuralnetworks-pytorch
Understanding nuts and bolts of neural networks with PyTorch
โ32Updated 3 years ago
Related projects โ
Alternatives and complementary repositories for understanding-neuralnetworks-pytorch
- Toy implementations of some popular ML optimizers using Python/JAXโ43Updated 3 years ago
- Some small scale experiments for my blog posts ๐โ78Updated 2 years ago
- Visualization of various deep learning optimization algorithms using PyTorch automatic differentiation and optimizers.โ56Updated 6 years ago
- Deep Probabilistic Programming Course @ DIKUโ56Updated 4 years ago
- Material for my Caltech tutorial on deep learning and tensor methodsโ69Updated 6 years ago
- PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.โ99Updated 3 years ago
- Yet Another Neural Network Library ๐คโ25Updated 7 months ago
- แผฮฝฮฑฯฮฟฮผฮฎ is a PyTorch library to analyze representation of neural networksโ62Updated 11 months ago
- Notebook for comprehensive analysis of authors, organizations, and countries of ICML 2020 papers.โ54Updated 4 years ago
- understanding kl divergence using 1D Gaussiansโ14Updated 5 years ago
- โ35Updated 4 years ago
- Statistical adaptive stochastic optimization methodsโ32Updated 4 years ago
- More PRML Errataโ80Updated last year
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young lossesโ183Updated last year
- A lightweight library for tensorflow 2.0โ66Updated 4 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19โ272Updated 5 years ago
- a lightweight transformer library for PyTorchโ72Updated 3 years ago
- โ29Updated 2 years ago
- โ85Updated 3 years ago
- Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networksโ83Updated 2 years ago
- Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)โ94Updated last year
- JAX implementation of Learning to learn by gradient descent by gradient descentโ25Updated 3 weeks ago
- A pytorch based classification experiments templateโ46Updated 3 years ago
- Materials of the Nordic Probabilistic AI School 2019.โ130Updated 4 years ago
- Applied Sparse regularization (L1), Weight decay regularization (L2), ElasticNet, GroupLasso and GroupSparseLasso to Neuronal Network.โ38Updated 2 years ago
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cubeโ47Updated 5 years ago
- Boiler plate code for Torch based ML projectsโ10Updated 3 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAXโ58Updated 4 years ago