wielandbrendel

wielandbrendel's Stars

• pytorch/pytorch

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  Language:Python85.7k1.8k48k23.1k

• calcom/cal.com

  Scheduling infrastructure for absolutely everyone.

  Language:TypeScript33.3k1637.1k8.4k

• zauberzeug/nicegui

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

  Language:Python10.5k771.1k630

• numba/numba

  NumPy aware dynamic Python compiler using LLVM

  Language:Python10.1k1985.3k1.1k

• plankanban/planka

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

  Language:JavaScript8.4k67629793

• cvxpy/cvxpy

  A Python-embedded modeling language for convex optimization problems.

  Language:C++5.6k1261.5k1.1k

• DeepLabCut/DeepLabCut

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

  Language:Python4.8k1272k1.7k

• 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:Python4k197117792

• bethgelab/foolbox

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

  Language:Python2.8k46371429

• HobbitLong/PyContrast

  PyTorch implementation of Contrastive Learning methods

  Language:Python2k4228185

• alvarobartt/investpy

  Financial Data Extraction from Investing.com with Python

  Language:Python1.7k59468381

• open-dynamic-robot-initiative/open_robot_actuator_hardware

  1.1k7846207

• 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:TeX89425205188

• siliconcompiler/siliconcompiler

  Modular hardware build system

  Language:Python8852432287

• carlini/nn_robust_attacks

  Robust evasion attacks against neural network to find adversarial examples

  Language:Python8112342231

• 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:Python7413765134

• LAION-AI/natural_voice_assistant

  Language:Python470211943

• bethgelab/model-vs-human

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

  Language:Python339151851

• openphilanthropy/unrestricted-adversarial-examples

  Contest Proposal and infrastructure for the Unrestricted Adversarial Examples Challenge

  Language:Python330365255

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

  LaTeX source for the paper "On Evaluating Adversarial Robustness"

  Language:TeX253361734

• huanzhang12/ZOO-Attack

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

  Language:Python1688647

• crowdAI/crowdai

  Fighting for Open Science with Open Data

  Language:JavaScript1491669532

• bethgelab/robustness

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

  Language:Python1311685

• osqp/osqp-python

  Python interface for OSQP

  Language:Python11186041

• bethgelab/slow_disentanglement

  Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

  Language:Jupyter Notebook7213312

• bethgelab/decompose

  Blind source separation based on the probabilistic tensor factorisation framework

  Language:Python4312211

• bethgelab/adversarial-vision-challenge

  NIPS Adversarial Vision Challenge

  Language:Python41133512

• pikinder/nn-patterns

  TODO ;)

  Language:Python12522

• jonasrauber/arxiv-bear-app

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

  9200

• wielandbrendel/agmb-docker

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

  Language:Shell76474