andbloch / eth-dl-cheat-sheetLinks
Cheat sheet for the "Deep Learning" course at ETH Zürich
☆20Updated 5 years ago
Alternatives and similar repositories for eth-dl-cheat-sheet
Users that are interested in eth-dl-cheat-sheet are comparing it to the libraries listed below
Sorting:
- ☆142Updated 2 months ago
- LaTeX style file for the Journal of Machine Learning Research☆143Updated last year
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Tutorial on amortized optimization for learning to optimize over continuous domains☆243Updated 5 months ago
- WandB sweeps integration with Hydra sweeper☆50Updated last year
- ☆232Updated 2 years ago
- ☆36Updated 2 years ago
- Stochastic Automatic Differentiation library for PyTorch.☆205Updated 11 months ago
- PyTorch Package For Quasimetric Learning☆42Updated 9 months ago
- Omnigrok: Grokking Beyond Algorithmic Data☆61Updated 2 years ago
- Differentiable Algorithms and Algorithmic Supervision.☆116Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆130Updated 2 years ago
- Scalable Convex Neural Networks☆24Updated 3 months ago
- ☆65Updated 3 years ago
- Code accompanying our paper "Feature Learning in Infinite-Width Neural Networks" (https://arxiv.org/abs/2011.14522)☆62Updated 4 years ago
- 🌲 Stanford CS 228 - Probabilistic Graphical Models☆136Updated 11 months ago
- Interactive textbook on state-space models☆197Updated last year
- Code for Powderworld: A Platform for Understanding Generalization via Rich Task Distributions☆68Updated 11 months ago
- Easy Hypernetworks in Pytorch and Jax☆103Updated 2 years ago
- ☆31Updated 8 months ago
- Fully differentiable RL environments, written in Ivy.☆65Updated last year
- ☆28Updated 3 years ago
- Exact method for visualizing partitions of a Deep Neural Network, CVPR 2023 Highlight☆109Updated 6 months ago
- Library for graphical models of decision making, based on pgmpy and networkx☆109Updated last year
- Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization☆343Updated last year
- Open source code for paper "On the Learning and Learnability of Quasimetrics".☆31Updated 2 years ago
- Package for working with hypernetworks in PyTorch.☆128Updated last year
- A collection of meta-learning algorithms in Jax☆23Updated 2 years ago
- ☆144Updated 2 months ago
- Building blocks for productive research☆59Updated last week