070bex424pankaj

070bex424pankaj's Stars

• opencv/opencv

  Open Source Computer Vision Library

  Language:C++79.3k2.7k10.9k55.9k

• CMU-Perceptual-Computing-Lab/openpose

  OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

  Language:C++31.4k9232k7.9k

• williamfiset/Algorithms

  A collection of algorithms and data structures

  Language:Java17.4k4311774.4k

• dair-ai/ML-Papers-Explained

  Explanation to key concepts in ML

  7.3k1538575

• bnsreenu/python_for_microscopists

  https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

  Language:Jupyter Notebook4k109752.4k

• minar09/awesome-virtual-try-on

  A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.

  2.3k10711279

• vmware/pyvmomi

  VMware vSphere API Python Bindings

  Language:Python2.2k187874766

• Chanda-Abdul/Several-Coding-Patterns-for-Solving-Data-Structures-and-Algorithms-Problems-during-Interviews

  Several Coding Patterns for Solving Data Structures and Algorithms Problems during Interviews

  1.9k186602

• kumar-shridhar/PyTorch-BayesianCNN

  Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

  Language:Python1.4k3164325

• codebasics/data-structures-algorithms-python

  This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

  Language:Jupyter Notebook1.2k31241.5k

• AntreasAntoniou/HowToTrainYourMAMLPytorch

  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

  Language:Python7831342138

• vmware/vsphere-automation-sdk-python

  Python samples, language bindings, and API reference documentation for vSphere, VMC, and NSX-T using the VMware REST API

  Language:Python75352207311

• KristiyanVachev/Question-Generation

  Generating multiple choice questions from text using Machine Learning.

  Language:Jupyter Notebook4861514113

• sjchoi86/bayes-nn

  Lecture notes on Bayesian deep learning

  480291114

• dellacortelab/prospr

  ProSPr: Protein Structure Prediction

  Language:Python421192585

• theAIGuysCode/Object-Detection-API

  Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

  Language:Python3411626179

• cpark321/uncertainty-deep-learning

  Language:Jupyter Notebook2268155

• pmorerio/dl-uncertainty

  "What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?", NIPS 2017 (unofficial code).

  Language:Python2077736

• RobRomijnders/weight_uncertainty

  Implementing Bayes by Backprop

  Language:Python18216141

• nitarshan/bayes-by-backprop

  PyTorch implementation of "Weight Uncertainty in Neural Networks"

  Language:Jupyter Notebook1703647

• 4GeeksAcademy/react-flask-hello

  Create web applications with React and connected them to your own Python Flask backend API. Compatible with Gitpod.

  Language:JavaScript147371.5k

• hutec/UncertaintyNN

  Implementation and evaluation of different approaches to get uncertainty in neural networks

  Language:Jupyter Notebook1408530

• 15Dkatz/python-blockchain-tutorial

  Official course repository for "Python, JS, & React | Build a Blockchain & Cryptocurrency" by David Katz.

  Language:Python1179785

• amrit110/Active-Learning-Papers

  A list of papers on Active Learning and Uncertainty Estimation for Neural Networks.

  65607

• sungyubkim/MCDO

  A pytorch implementation of MCDO(Monte-Carlo Dropout methods)

  Language:Jupyter Notebook56118

• alexrakowski/mc-dropout-mnist

  Implementation of the MNIST experiment for Monte Carlo Dropout from http://mlg.eng.cam.ac.uk/yarin/PDFs/NIPS_2015_bayesian_convnets.pdf

  Language:Python30223

• cdrrazan/awesome-ROR-interview-questions

  [ WIP ] A list of websites link for finding ruby on rails interview questions on internet!

  262018

• cdrrazan/prasad

  Prasad is a complete Jekyll theme designed for portfolio and blog for developers.

  Language:JavaScript212620

• mjpyeon/pytorch-bayes-by-backprop

  PyTorch implementation of "Weight Uncertainties in Neural Networks" (Bayes-by-Backprop)

  Language:Python15210

• AlanMorningLight/PyTorch-BayesianCNN

  Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

  Language:Jupyter Notebook110