Farley Lai (farleylai)

farleylai

Geek Repo

Company:Qualcomm Technology Inc.

Location:San Diego, CA

Home Page:http://farley.metax.vision

Github PK Tool:Github PK Tool

Farley Lai's repositories

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linux

Linux kernel source tree

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MonsoonPowerToolWS

Monsoon PowerTool Web Service for Scripting

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xLL

eXtreme Language Learning

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amazon-kinesis-video-streams-webrtc-sdk-c

Amazon Kinesis Video Streams Webrtc SDK is for developers to install and customize realtime communication between devices and enable secure streaming of video, audio to Kinesis Video Streams.

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arm-cross-sysroot

Script Bundle to cross-compile of some libraries

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av-feedstock

A conda-smithy repository for av.

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ban-vqa

Bilinear attention networks for visual question answering

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bist-parser

Scene Graph Parsing as Dependency Parsing

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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deep-learning-workshop

Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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digital_video_introduction

A hands-on introduction to video technology: image, video, codec (av1, h264, h265) and more (ffmpeg encoding).

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dotfiles

A set of vim, zsh, git, and tmux configuration files.

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github-issue-templates

:symbols: A collection of GitHub issue and pull request templates

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kivy

Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS

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ksoap2-generator

Updated original ksoap2 generator

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PowerTutor

Model based power estimator by application

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pythia

A modular framework for Visual Question Answering research by the FAIR A-STAR team

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wsn-contour-tracking

Our project will be to study and implement different algorithms for tracking contours on wireless sensor networks. To achieve the goal, we will need to set up a grid where a mote with a light sensor is located at each vertex. Each mote will be sending feedback to our laptop where all the data will be analyzed. We will estimate how the light is being dispersed throughout the grid using the intensity of the light sensed at the vertexes.

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yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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