MaxDumbledore

MaxDumbledore's Stars

• svc-develop-team/so-vits-svc

  SoftVC VITS Singing Voice Conversion

  Language:Python25.8k1781304.8k

• xiangsx/gpt4free-ts

  Providing a free OpenAI GPT-4 API ! This is a replication project for the typescript version of xtekky/gpt4free

  Language:TypeScript7.7k79821.3k

• amusi/Deep-Learning-Interview-Book

  深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

  7.6k180111.3k

• Trusted-AI/adversarial-robustness-toolbox

  Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

  Language:Python4.8k988851.2k

• OpenDriveLab/UniAD

  [CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

  Language:Python3.5k38186385

• bowang-lab/MedSAM

  Segment Anything in Medical Images

  Language:Jupyter Notebook3k22290407

• isl-org/Open3D-ML

  An extension of Open3D to address 3D Machine Learning tasks

  Language:Python1.9k46295315

• tusen-ai/SST

  Code for a series of work in LiDAR perception, including SST (CVPR 22), FSD (NeurIPS 22), FSD++ (TPAMI 23), FSDv2, and CTRL (ICCV 23, oral).

  Language:Python79814192101

• amusi/AI-Job-Resume

  AI 算法岗简历模板

  5736085

• WXinlong/DenseCL

  Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.

  Language:Python54673569

• Ruu3f/freeGPT

  freeGPT provides free access to text and image generation models.

  Language:Python457122356

• EFS-OpenSource/calibration-framework

  The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.

  Language:Python34475042

• PJLab-ADG/DetZero

  [ICCV 2023] DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds

  Language:Python327145732

• liruihui/PU-GAN

  PU-GAN: a Point Cloud Upsampling Adversarial Network, ICCV, 2019

  Language:Makefile277105046

• P2333/Bag-of-Tricks-for-AT

  Empirical tricks for training robust models (ICLR 2021)

  Language:Python2494725

• ylsung/pytorch-adversarial-training

  PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.

  Language:Python2435865

• Verified-Intelligence/alpha-beta-CROWN

  alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, and 2024)

  Language:Python235147358

• csdongxian/AWP

  Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

  Language:Python1703419

• vzyrianov/lidargen

  Official implementation of "Learning to Generate Realistic LiDAR Point Clouds" (ECCV 2022)

  Language:Python1315914

• Nightmare-n/GD-MAE

  GD-MAE: Generative Decoder for MAE Pre-training on LiDAR Point Clouds (CVPR 2023)

  Language:Python1147257

• stevewongv/Sparse2Dense

  Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection (NeurIPS 2022)

  Language:Python68565

• yunhe20/Grad-PU

  This is the official PyTorch implementation of our paper "Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions" (CVPR 2023).

  Language:Python6841120

• liuye6666/adaptive_auto_attack

  Adversarial Robustness, White-box, Adversarial Attack

  Language:Python49304

• chenyd7/PEFD

  [NeurIPS'22] Projector Ensemble Feature Distillation

  Language:Python29104

• pantheon5100/DeACL

  This is the official implementation of the paper "Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness," which was accepted at ECCV 2022.

  Language:Python18312

• PKU-ML/DYNACL

  [ICLR 2023] Official repository of the paper "Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning"

  Language:Python16122

• rhtm02/PU-Transformer

  Unofficial Implement PU-Transformer

  Language:Python16273

• prithusuresh/semantic-point-generation

  Language:Python15323

• inspire-group/OOD-Attacks

  Attacks using out-of-distribution adversarial examples

  Language:Python12444

• stanleybak/vggnet16_benchmark2022

  vnncomp benchmark for vggnet16 in 2022

  Language:Python1201