rupak-118

rupak-118's Stars

• kojino/120-Data-Science-Interview-Questions

  Answers to 120 commonly asked data science interview questions.

  3.7k1.3k

• OpenMined/PySyft

  Perform data science on data that remains in someone else's server

  Language:Python9.6k2k

• krishnakumarsekar/awesome-quantum-machine-learning

  Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

  Language:HTML2.8k677

• dipanjanS/explainable_artificial_intelligence

  Slides, code and resources for model interpretation methods in machine learning and deep learning

  Language:Jupyter Notebook3228

• SudalaiRajkumar/ML

  Codes related to various ML Hackathons

  Language:Jupyter Notebook214228

• datasciencescoop/Data-Science--Cheat-Sheet

  Cheat Sheets

  Language:TeX18.3k

• akanimax/BMSG-GAN

  [MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning. Pytorch Implementation

  Language:Python630105

• idealo/cnn-exposed

  🕵️‍♂️ Interpreting Convolutional Neural Network (CNN) Results.

  Language:Jupyter Notebook17730

• abhijitbendale/OSDN

  Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

  Language:Python25757

• opencv/opencv

  Open Source Computer Vision Library

  Language:C++79.8k55.9k

• kmario23/deep-learning-drizzle

  Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

  Language:HTML12.4k2.9k

• bioinf-jku/SNNs

  Tutorials and implementations for "Self-normalizing networks"

  Language:Jupyter Notebook1.6k197

• timzhang642/3D-Machine-Learning

  A resource repository for 3D machine learning

  9.8k1.8k

• lucasb-eyer/pydensecrf

  Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

  Language:C++2k418

• keras-team/keras-contrib

  Keras community contributions

  Language:Python1.6k651

• Hironsan/keras-crf-layer

  Implementation of CRF layer in Keras.

  Language:Python7431

• bermanmaxim/superpixPool

  Superpixel Pooling implemented in PyTorch and Chainer

  Language:Python13626

• fwang91/residual-attention-network

  Residual Attention Network for Image Classification

  554214

• zhengyang-wang/Unet_3D

  3D Unet Equipped with Advanced Deep Learning Methods

  Language:Python6115

• oarriaga/STN.keras

  Implementation of spatial transformer networks (STNs) in keras 2 with tensorflow as backend.

  Language:Jupyter Notebook27875

• divelab/dtn

  Language:Python5819

• kevinzakka/spatial-transformer-network

  A Tensorflow implementation of Spatial Transformer Networks.

  Language:Python993267

• rgeirhos/texture-vs-shape

  Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

  Language:R793102

• keras-team/keras-applications

  Reference implementations of popular deep learning models.

  Language:Python2k907

• titu1994/Keras-NASNet

  "NASNet" models in Keras 2.0+ with weights

  Language:Python19964

• SummitKwan/transparent_latent_gan

  Use supervised learning to illuminate the latent space of GAN for controlled generation and edit

  Language:Python2k361

• Tencent/PocketFlow

  An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

  Language:Python2.8k489

• iamtrask/Grokking-Deep-Learning

  this repository accompanies the book "Grokking Deep Learning"

  Language:Jupyter Notebook7.5k1.6k

• tensorflow/adanet

  Fast and flexible AutoML with learning guarantees.

  Language:Jupyter Notebook3.5k526

• gyk/bgs-gcut

  Graph-cut based background subtraction

  Language:Matlab23