gdikov

gdikov's Stars

• cleanlab/cleanlab

  The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

  Language:Python9.4k89365728

• open-mmlab/OpenPCDet

  OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

  Language:Python4.6k711.4k1.3k

• yell/boltzmann-machines

  Boltzmann Machines in TensorFlow with examples

  Language:Jupyter Notebook8443514134

• akanimax/msg-stylegan-tf

  MSG StyleGAN in tensorflow

  Language:Python263131357

• gdikov/hypertunity

  A toolset for black-box hyperparameter optimisation.

  Language:Python1369210

• DavidXu-JJ/DebSDF

  [TPAMI 2024] DebSDF: Delving into the Details and Bias of Neural Indoor Scene Reconstruction

  Language:Python961470

• toshas/torch_truncnorm

  Truncated Normal Distribution in PyTorch

  Language:Python783812

• EliasKassapis/CARSSS

  Official re-implementation of the Calibrated Adversarial Refinement model described in the paper "Calibrated Adversarial Refinement for Stochastic Semantic Segmentation"

  Language:Python34405

• gdikov/bayesian-architecture-learning

  Implementation of "Bayesian Learning of Neural Network Architectures"

  Language:Python6211

• gdikov/calibrated-adversarial-learning

  Reproducing the toy example in "Calibrated Adversarial Refinement for Multimodal Semantic Segmentation" by Kassapis et al.

  Language:Jupyter Notebook4300

• gdikov/stochastic-segmentation-networks

  Tutorial reimplementation of Monteiro et al. (2020) on a toy problem.

  Language:Jupyter Notebook3200

• taimir/pixel-rnn-lasagne

  PixelRNN implementation in lasagne

  Language:Python3201

• gdikov/gdikov.github.io

  About me

  Language:SCSS1200