toobaimt

toobaimt's Stars

• Sense-X/Co-DETR

  [ICCV 2023] DETRs with Collaborative Hybrid Assignments Training

  Language:Python980108

• phoenixwilliams/Black-Box-Sparse-Adversarial-Attack-via-Multi-Objective-Optimisation

  Code for our CVPR 2023 paper: Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation

  Language:Python181

• divyam3897/UCL

  Code for the paper "Representational Continuity for Unsupervised Continual Learning" (ICLR 22)

  Language:Python9327

• ChaoningZhang/MobileSAM

  This is the official code for MobileSAM project that makes SAM lightweight for mobile applications and beyond!

  Language:Jupyter Notebook4.7k485

• toobaimt/wideresnet-keras

  tf.keras implementation of WideResNet-50-2

  Language:Python1

• tianrun-chen/SAM-Adapter-PyTorch

  Adapting Meta AI's Segment Anything to Downstream Tasks with Adapters and Prompts

  Language:Python1k89

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript118k14.6k

• adapt-python/adapt

  Awesome Domain Adaptation Python Toolbox

  Language:Python30243

• jadore801120/attention-is-all-you-need-pytorch

  A PyTorch implementation of the Transformer model in "Attention is All You Need".

  Language:Python8.8k2k

• aimagelab/mammoth

  An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

  Language:Python54098

• LightDXY/GreedyFool

  GreedyFool (NIPS2020) official code for saprse adversarial attack

  Language:Python365

• shaguopohuaizhe/TSAA

  Language:Python305

• zifanw/boundary

  Implementation of Boundary Attributions for Normal (Vector) Explanations

  Language:Jupyter Notebook92

• mlfoundations/model-soups

  Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference time

  Language:Python41137

• ivy-llc/ivy

  Convert Machine Learning Code Between Frameworks

  Language:Python14k5.8k

• Harry24k/adversarial-attacks-pytorch

  PyTorch implementation of adversarial attacks [torchattacks]

  Language:Python1.9k348

• carlini/nn_robust_attacks

  Robust evasion attacks against neural network to find adversarial examples

  Language:Python789229

• probtorch/probtorch

  Probabilistic Torch is library for deep generative models that extends PyTorch

  Language:Python88565

• akandykeller/TopographicVAE

  Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"

  Language:Python7716

• awesome-NeRF/awesome-NeRF

  A curated list of awesome neural radiance fields papers

  Language:TeX6.5k594

• bmild/nerf

  Code release for NeRF (Neural Radiance Fields)

  Language:Jupyter Notebook9.8k1.4k

• uclaml/Frank-Wolfe-AdvML

  A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks (AAAI'20)

  Language:Python115

• ZIB-IOL/fw-rde

  Official implementation of the paper "Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings" by J. Macdonald, M. Besançon, and S. Pokutta (2021).

  Language:Python4

• jmaces/rde

  Official implementation of the paper "A Rate-Distortion Framework for Explaining Neural Network Decisions" by J. Macdonald, S. Wäldchen, S. Hauch and G. Kutyniok (2019).

  Language:Python4

• canonical-capsules/canonical-capsules

  Canonical Capsules: Self-Supervised Capsules in Canonical Pose (NeurIPS 2021)

  Language:Python17221

• jchibane/ndf

  Neural Unsigned Distance Fields (NDF) - Codebase

  Language:Python18926

• vsitzmann/awesome-implicit-representations

  A curated list of resources on implicit neural representations.

  2.4k137

• NVlabs/geomapnet

  Geometry-Aware Learning of Maps for Camera Localization (CVPR2018)

  Language:Python34779

• charlesq34/pointnet2

  PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

  Language:Python3.1k896

• krrish94/chamferdist

  Pytorch package to compute Chamfer distance between point sets (pointclouds).

  Language:Cuda29750