Gambar profil vaibhav290797
Bendera India Gandhinagar, India
Anggota sejak 6 April 2018
0 Rekomendasi


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We are a team of machine learning engineers having years of experience in machine learning and computer vision. We can work on: 1. Image processing and computer vision (Image classification, segmentation, description, compression, super-resolution, registration, depth estimation) 2. Motion estimation from videos. 3. Compression engines. 4. Speech recognition. Expertise in Neural Networks: Convolutional, Recurrent, Generative adversarial networks (CNN, RNN, GAN). Expertise in classical machine learning: SVM, Linear regression, polynomial regression, RBF, shallow MLPs. MATLAB, Python, PyTorch, Keras, Tensorflow.
$20 USD/hr
13 ulasan
  • 100%Pekerjaan Diselesaikan
  • 100%Sesuai Anggaran
  • 86%Tepat Waktu
  • 12%Tingkat Rekrut Ulang


Ulasan Terbaru

  • gambar Lifu0415 Project for "Vaibhav" $200.00 USD

    “He is familiar with Machine learning and python. Very good job. very supportive. Good communication”

  • gambar jkenei Text classification using neural networks concept writeup $137.67 USD

    “He is a real scientist.”

  • gambar karacm Personal Project for Visionion $350.00 USD

    “He has the deep learning expertise.”

  • gambar deeperdragon Project for Visionion -- 2 $75.00 USD

    “Perfect work again, really it's my good luck working with you sir. Realy thanks so much, perfect job with high-quality results. Thanks for your advice and your patience. Recommended”

  • gambar deeperdragon Project for Visionion $100.00 USD

    “another time I work with him and he is very professional and complete the project with success and total satisfaction. very recommended”

  • gambar deeperdragon Project for Vaibhavkumar P. -- 2 $130.00 USD

    “He is the best in this field of deep learning and machine learning, he is professional and very intelligent, he helps me a lot in this project. I highly recommend him and I will work with him again. He is also very kind and likes challenges. [login to view URL]”


Machine Learning Research Engineer

Jan 2018 - Apr 2018 (3 months)

I worked there as a machine learning research project named figgymation. My task was to develop a deep learning algorithm to generate an animation from a sketch.


A generative adversarial network for tone mapping HDR images

We are proposing a novel generative adversarial network to learn a combination of these tone mapping operators. In order to get pixel level accuracy, we are using residual connections between same-sized network layers. We compare this method with some of the existing tone mapping operators and observe that our method generates images with comparably high TMQI and indeed works on many different types of images.

Convolutional neural network with transfer learning for rice type classification

This paper proposes a deep learning based method for classification of rice types. We propose two methods to classify the rice types. In the first method, we train a deep convolutional neural network (CNN) using the given segmented rice images. In the second method, we train a combination of a pretrained VGG16 network and the proposed method, while using transfer learning in which the weights of a pretrained network are used to achieve better accuracy.


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