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:
- 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
- A lightweight library for tensorflow 2.0☆66Updated 5 years ago
- An implementation of the differentially private variational inference algorithm for NumPyro.☆16Updated last year
- ImageNet training code that implements academic defaults☆12Updated 4 years ago
- Interactively retrieve data from sacred experiments.☆82Updated this week
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 5 years ago
- ☆27Updated 2 years ago
- Nonparametric Score Estimators, ICML 2020☆36Updated 4 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- IguanaTex for mac (Now archived. For the up-to-date version please refer to https://github.com/Jonathan-LeRoux/IguanaTex)☆81Updated 3 years ago
- Reference implementation of the PAL optimizer☆20Updated 4 years ago
- SafeLife: safety benchmarks for reinforcement learning agents☆61Updated 4 years ago
- ☆17Updated 5 years ago
- Public repository for CIL☆40Updated 4 years ago
- Code to generate visual metamers via foveated feed-forward style transfer (ICLR 2019)☆19Updated 4 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 5 years ago
- trained sketch-rnn / deployed with sketch-rnn-js on flowchart dataset☆36Updated 5 years ago
- CVPR 2019 paper "Disentangling Adversarial Robustness and Generalization".☆14Updated 5 years ago
- Timetrack - a simple command line program for analysing your own calendar data.☆69Updated 4 years ago
- Loss Patterns of Neural Networks☆85Updated 3 years ago
- Official code for NeurIPS paper "Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach".☆16Updated 3 years ago
- Awesome papers in few-shot learning/one-shot learning.☆30Updated 6 years ago
- Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18☆55Updated 6 years ago
- PyTorch implementation of "MLP-Mixer: An all-MLP Architecture for Vision" Tolstikhin et al. (2021)☆31Updated 4 years ago
- Sharpened Cosine Distance implementation in PyTorch☆10Updated 3 years ago
- Pytorch optimizers implementing Hilbert Constrained Gradient Descent☆19Updated 6 years ago
- Basic experiment framework for tensorflow.☆91Updated 4 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- Capacity Estimation and Measuring Tools for Neural Networks☆29Updated 3 years ago
- Generate a customised list of publications for your LaTeX CV using BibTeX entries.☆99Updated 3 years ago