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Easily train a good VC model with voice data <= 10 mins!
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
音乐解锁：移除已购音乐的加密保护。 目前支持网易云音乐(ncm)、QQ音乐(qmc, mflac, tkm, ogg) 。此版本为预构建版本。
Fastest & best convert qmc 2 mp3 | flac tools
The simplest implementation of LeNet5 with mnist in PyTorch. Accuracy: ~99%
RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]
A Closer Look at Accuracy vs. Robustness
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
[NeurIPS 2023 Spotlight] Combating Representation Learning Disparity with Geometric Harmonization
Reproduces BPDA attack in pytorch
This repository provides simple PyTorch implementations for adversarial training methods on CIFAR-10.
A challenge to explore adversarial robustness of neural networks on MNIST.
PyTorch implementation of adversarial attacks [torchattacks]
Ensemble Adversarial Training on MNIST with pytorch
Ensemble Adversarial Training on MNIST
Convert tensorflow model to pytorch model via [MMdnn](https://github.com/microsoft/MMdnn) for adversarial attacks.
The Places365-CNNs for Scene Classification
cvpr2024/cvpr2023/cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理