Kevin Tran Vu Le (ktl014)

ktl014

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Company:University of California, San Diego

Location:La Jolla, CA

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Kevin Tran Vu Le's starred repositories

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MLE-Flashcards

200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.

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data-science-template

Template for a data science project

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ipyplot

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

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direct_lidar_odometry

[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.

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intro-computervision

Notebooks for learning about the layers of a convolutional neural network.

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DDIExtraction

Detecting drug-drug interaction (DDI) has become a vital part of public health safety. This project is an implementation of NLP based approach for such relation extraction between entities.

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Airbnb_Recommendations

An Airbnb destination recommendation system (Kaggle competition) to predict a new user's booking destination given their demographics, web session records, and other summary statistics. Coded in Python.

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loss-prettifier

A handy Python function that prints your model training loss change like stock index.

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simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

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tensorflow

An Open Source Machine Learning Framework for Everyone

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DataScienceingDogRates

A repo with some code to analyse dog rates

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openpose

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

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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mturk-code-samples

Code samples to help you get started with the Amazon Mechanical Turk Requester API

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places365

The Places365-CNNs for Scene Classification

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