wielandbrendel

wielandbrendel's Stars

• zauberzeug/nicegui

  Create web-based user interfaces with Python. The nice way.

  Language:Python9.7k575

• LAION-AI/natural_voice_assistant

  Language:Python46041

• siliconcompiler/siliconcompiler

  Modular hardware build system

  Language:Python85685

• alvarobartt/investpy

  Financial Data Extraction from Investing.com with Python

  Language:Python1.6k377

• bethgelab/model-vs-human

  Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)

  Language:Python33448

• calcom/cal.com

  Scheduling infrastructure for absolutely everyone.

  Language:TypeScript31.9k7.8k

• open-dynamic-robot-initiative/open_robot_actuator_hardware

  1.1k201

• fmarotta/kaobook

  A LaTeX class for books, reports or theses based on https://github.com/kenohori/thesis and https://github.com/Tufte-LaTeX/tufte-latex.

  Language:TeX832177

• plankanban/planka

  The realtime kanban board for workgroups built with React and Redux.

  Language:JavaScript7.9k733

• jonasrauber/arxiv-bear-app

  My personal reference management system for arXiv papers using Bear.app

  9

• bethgelab/slow_disentanglement

  Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

  Language:Jupyter Notebook7212

• bethgelab/robustness

  Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.

  Language:Python1295

• HobbitLong/PyContrast

  PyTorch implementation of Contrastive Learning methods

  Language:Python1.9k186

• cvxpy/cvxpy

  A Python-embedded modeling language for convex optimization problems.

  Language:C++5.4k1.1k

• numba/numba

  NumPy aware dynamic Python compiler using LLVM

  Language:Python9.9k1.1k

• evaluating-adversarial-robustness/adv-eval-paper

  LaTeX source for the paper "On Evaluating Adversarial Robustness"

  Language:TeX25233

• osqp/osqp-python

  Python interface for OSQP

  Language:Python10940

• openphilanthropy/unrestricted-adversarial-examples

  Contest Proposal and infrastructure for the Unrestricted Adversarial Examples Challenge

  Language:Python32955

• bethgelab/adversarial-vision-challenge

  NIPS Adversarial Vision Challenge

  Language:Python4112

• DeepLabCut/DeepLabCut

  Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

  Language:Python4.6k1.7k

• marcoancona/DeepExplain

  A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

  Language:Python731133

• bethgelab/decompose

  Blind source separation based on the probabilistic tensor factorisation framework

  Language:Python4311

• crowdAI/crowdai

  Fighting for Open Science with Open Data

  Language:JavaScript14932

• pikinder/nn-patterns

  TODO ;)

  Language:Python122

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python83k22.4k

• buriburisuri/speech-to-text-wavenet

  Speech-to-Text-WaveNet : End-to-end sentence level English speech recognition based on DeepMind's WaveNet and tensorflow

  Language:Python3.9k794

• huanzhang12/ZOO-Attack

  ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks

  Language:Python16447

• carlini/nn_robust_attacks

  Robust evasion attacks against neural network to find adversarial examples

  Language:Python790230

• bethgelab/foolbox

  A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

  Language:Python2.7k425

• wielandbrendel/agmb-docker

  Docker images for scientific computing and deep learning - by AG Bethge

  Language:Shell74