farleylai Goto Github PK

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.

arm-cross-sysroot

Script Bundle to cross-compile of some libraries

av-feedstock

A conda-smithy repository for av.

ban-vqa

Bilinear attention networks for visual question answering

bist-parser

Scene Graph Parsing as Dependency Parsing

deep-learning-papers-reading-roadmap

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

deep-learning-workshop

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

detectron

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

devdraft

digital_video_introduction

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

dotfiles

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

farleylai.github.io.bak

github-issue-templates

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

ignite

kivy

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

ksoap2-generator

Updated original ksoap2 generator

linux

Linux kernel source tree

monsoonpowertoolws

Monsoon PowerTool Web Service for Scripting

nn

notes

powertutor

Model based power estimator by application

pythia

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

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.

xll

eXtreme Language Learning

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite