Manjot Singh Bilkhu (manjotms10)

manjotms10

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Company:Apple

Location:San Diego

Home Page:http://acmsweb.ucsd.edu/~mbilkhu

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Manjot Singh Bilkhu's repositories

PatchGAN

PatchGAN's for refining Monocular Depth Estimation.

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google-trends-analytics

Course Project for UCSD ECE143: Programming for Data Analytics

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GTA-Domain-Adaptation

ECE 285 Course Project on Adversarial Domain Adaptation using Image Translation for Synthetic Data.

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activity-recognition-i3d

Activity Recognition using Inflated-3d-convolutional networks.

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U-Net-in-Keras

Implementing U-Nets for semantic segmentation and visual understanding

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cyclegan-keras

Implementation of Cycle GAN for Image to Image Translation in Keras and Tensorflow

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Generative-Adversarial-Networks-in-Keras

Implementation and explanation of GAN's in Keras. A toy example of generating handwritten digits using the MNIST dataset to gain some intuition into how Generators and Discriminators work.

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Keras-Image-Classification

Image Classification using Keras

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3D-BoundingBox

PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry

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eMojify

Emotion Recognition from Facial Expressions using Deep Learning

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Age-Prediction-of-Indian-Actors

Predicting the Age of Indian Actors and Classifying them into Young, Middle or Old

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AttentionDeepMIL

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

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awesome-courses

:books: List of awesome university courses for learning Computer Science!

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awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

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Friendly-Introduction-to-Keras

A notebook which introduces to the basic layout of a deep learning project using the Keras framework. Used this to present to a couple of folks in the organization, so thought of sharing.

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frustum-pointnets

Frustum PointNets for 3D Object Detection from RGB-D Data

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Keras-Sentiment-Classification

Sentiment Classification on the imdb dataset using Keras

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Lane-Detection-with-Cuda

Detecting Lanes using Cuda Kernels

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mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

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pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

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python-vimrc

VIM Configuration for Python / Cython / C Development

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tensorflow

Computation using data flow graphs for scalable machine learning

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voxelnet

This is an unofficial inplementation of VoxelNet in TensorFlow.

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