Alternatives and similar repositories for D2L-Exercises:

Users that are interested in D2L-Exercises are comparing it to the libraries listed below

• DevPranjal / reproduction-review-kd
  Reproduction of the CVPR'21 paper Distilling Knowledge via Knowledge Review for the ML Reproducibility Challenge 2021
  ☆10Updated 2 years ago
• DevPranjal / mico-first-principles
  Our submission for the Microsoft Membership Inference Competion at SaTML 2023
  ☆15Updated last year
• dsgiitr / AIKavach
  ☆33Updated last year
• ChanBong / s4-jax
  Following research on S4 in jax
  ☆14Updated 2 years ago
• dsgiitr / BOSCH-MODEL-EXTRACTION-ATTACK-FOR-VIDEO-CLASSIFICATION
  Winning solution of work done on model extraction over Vision Transformers such as Video-Swin-T and MoViNeT-A2-Base on Video Action-Recog…
  ☆18Updated 2 years ago
• MarlonBecker / MSAM
  ☆18Updated last year
• AminJun / ImageNet1KBoundingBoxes
  Pytorch ImageNet1k Loader with Bounding Boxes.
  ☆12Updated 3 years ago
• sahilg06 / Global-Wheat-Detection-AIcrowd
  Wheat detection using Faster RCNN
  ☆15Updated last year
• dsgiitr / ForecastPro
  Tensorflow-Based Approach to Handling Single-Step and Iterated Forecasting
  ☆11Updated 8 months ago
• dsgiitr / ML-InterviewQs
  This is a question bank for practicing Machine Learning for Interviews.
  ☆33Updated 2 years ago
• tml-epfl / sam-low-rank-features
  Sharpness-Aware Minimization Leads to Low-Rank Features [NeurIPS 2023]
  ☆27Updated last year
• franciscoliu / Awesome-GenAI-Unlearning
  ☆117Updated last month
• pdejorge / N-FGSM
  Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)
  ☆25Updated 2 years ago
• somepago / DCR
  Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.
  ☆105Updated last year
• Bai-YT / AdaptiveSmoothing
  Implementation of the paper "Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing".
  ☆11Updated last year
• MadryLab / datamodels
  ☆28Updated last year
• mueller-mp / SAM-ON
  ☆34Updated last year
• imrahulr / hat
  Helper-based Adversarial Training: Reducing Excessive Margin to Achieve a Better Accuracy vs. Robustness Trade-off
  ☆29Updated 2 years ago
• zwang84 / zsdb3kd
  Knowledge distillation (KD) from a decision-based black-box (DB3) teacher without training data.
  ☆21Updated 2 years ago
• dedeswim / vits-robustness-torch
  Code for the paper "A Light Recipe to Train Robust Vision Transformers" [SaTML 2023]
  ☆53Updated 2 years ago
• UCSC-VLAA / AdvXL
  [CVPR 2024] This repository includes the official implementation our paper "Revisiting Adversarial Training at Scale"
  ☆18Updated 10 months ago
• OPTML-Group / Unlearn-WorstCase
  [ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, …
  ☆23Updated 4 months ago
• MadryLab / pretraining-distribution-shift-robustness
  ☆14Updated last year
• dunky11 / adversarial-frontier-stitching
  Implementation of "Adversarial Frontier Stitching for Remote Neural Network Watermarking" in TensorFlow.
  ☆25Updated 3 years ago
• sayakpaul / robustness-foundation-models
  This repository holds code and other relevant files for the NeurIPS 2022 tutorial: Foundational Robustness of Foundation Models.
  ☆71Updated 2 years ago
• reds-lab / LAVA
  This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).
  ☆47Updated 8 months ago
• shash42 / Evaluating-Inexact-Unlearning
  ☆11Updated last year
• mmazeika / tdc-starter-kit
  Starter kit and data loading code for the Trojan Detection Challenge NeurIPS 2022 competition
  ☆33Updated last year
• jeromerony / adversarial-library
  Library containing PyTorch implementations of various adversarial attacks and resources
  ☆151Updated this week
• meghdadk / SCRUB
  ☆44Updated 6 months ago