DevPranjal / D2L-ExercisesLinks
Solutions to the exercises in Dive into Deep Learning, in PyTorch
☆11Updated 3 years ago
Alternatives and similar repositories for D2L-Exercises
Users that are interested in D2L-Exercises are comparing it to the libraries listed below
Sorting:
- Our submission for the Microsoft Membership Inference Competion at SaTML 2023☆15Updated 2 years ago
- Reproduction of the CVPR'21 paper Distilling Knowledge via Knowledge Review for the ML Reproducibility Challenge 2021☆10Updated 3 years ago
- ☆33Updated 2 years ago
- Tensorflow-Based Approach to Handling Single-Step and Iterated Forecasting☆10Updated last year
- Awesome Machine Unlearning (A Survey of Machine Unlearning)☆872Updated last week
- Compare neural networks by their feature similarity☆374Updated 2 years ago
- Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch☆341Updated last year
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆363Updated this week
- Following research on S4 in jax☆14Updated 3 years ago
- Starting kit for the NeurIPS 2023 unlearning challenge☆374Updated 2 years ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆739Updated 5 months ago
- 💡 Adversarial attacks on explanations and how to defend them☆327Updated 9 months ago
- Existing Literature about Machine Unlearning☆910Updated 3 weeks ago
- Fantastic Robustness Measures: The Secrets of Robust Generalization [NeurIPS 2023]☆41Updated 8 months ago
- Library containing PyTorch implementations of various adversarial attacks and resources☆162Updated this week
- A curated list of trustworthy deep learning papers. Daily updating...☆373Updated last month
- Pretrained models on CIFAR10/100 in PyTorch☆366Updated 4 months ago
- A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.☆943Updated last year
- This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.☆169Updated 4 years ago
- Summaries for exciting works in the field of Deep Learning.☆354Updated 3 months ago
- ☆24Updated last year
- ☆16Updated 2 years ago
- ☆12Updated 3 years ago
- Diffusion Reading Group at EleutherAI☆325Updated 2 years ago
- Probing the representations of Vision Transformers.☆331Updated 2 years ago
- Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using co…☆341Updated 2 years ago
- ViT Prisma is a mechanistic interpretability library for Vision and Video Transformers (ViTs).☆308Updated last month
- Code for the paper "Better Diffusion Models Further Improve Adversarial Training" (ICML 2023)☆143Updated 2 years ago
- Code for the paper: Discover-then-Name: Task-Agnostic Concept Bottlenecks via Automated Concept Discovery. ECCV 2024.☆48Updated 10 months ago
- ☆34Updated 2 years ago