groggi / eth-cil-exam-summaryLinks
Exam summary for Computational Intelligence Lab, ETH Zurich, SS15
☆13Updated 8 years ago
Alternatives and similar repositories for eth-cil-exam-summary
Users that are interested in eth-cil-exam-summary are comparing it to the libraries listed below
Sorting:
- Input Similarity from the Neural Network Perspective☆26Updated 5 years ago
- Looking at the manifold hypothesis in deep learning. Creating a simple spiral dataset allows me to reveal how neural networks follow an …☆22Updated 3 years ago
- Code to generate visual metamers via foveated feed-forward style transfer (ICLR 2019)☆19Updated 4 years ago
- PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision" Tolstikhin et al. (2021)☆31Updated 4 years ago
- Animating factor graphs using manim, networkx and manimnx. Blog post: https://rajatvd.github.io/Factor-Graphs/☆14Updated 6 years ago
- Resources to calculate how to become a carbon neutral lab.☆60Updated 6 years ago
- Search for scientific papers on the command line☆106Updated this week
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 5 years ago
- ☆17Updated 5 years ago
- Example Distill article repository—clone, rename, start writing!☆72Updated 2 years ago
- ☆27Updated 2 years ago
- Official code for NeurIPS paper "Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach".☆16Updated 3 years ago
- notebooks of cool EBM visualizations☆15Updated 4 years ago
- Parameterized fit and prediction harnesses for pytorch☆39Updated 5 years ago
- Pytorch optimizers implementing Hilbert Constrained Gradient Descent☆19Updated 6 years ago
- Code for our paper: "Regularity Normalization: Neuroscience-Inspired Unsupervised Attention across Neural Network Layers".☆21Updated 3 years ago
- An implementation of 2021 paper by Geoffrey Hinton: "How to represent part-whole hierarchies in a neural network" in Pytorch.☆57Updated 4 years ago
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 5 years ago
- Loss Patterns of Neural Networks☆86Updated 4 years ago
- This tool dumps images in tensorboard☆17Updated 5 years ago
- ☆13Updated 2 years ago
- An implementation of the differentially private variational inference algorithm for NumPyro.☆16Updated last year
- Parameter-Space Saliency Maps for Explainability☆23Updated 2 years ago
- PyTorch implementation of "Image-Conditioned Graph Generation for Road Network Extraction"☆83Updated last year
- Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube☆47Updated 6 years ago
- trained sketch-rnn / deployed with sketch-rnn-js on flowchart dataset☆36Updated 5 years ago
- Differentiable Algorithms and Algorithmic Supervision.☆116Updated 2 years ago
- Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks☆18Updated 3 years ago
- Large-Scale Machine and Deep Learning in PyTorch.☆21Updated 4 years ago
- Implementing Visual Saliency Models☆13Updated 7 years ago