Pinned Repositories
android-TestCppApp
A template C++ Android app made with Android Studio
DeepSpeech
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
ffmpeg-video-player
An FFmpeg and SDL Tutorial.
FunScripts
GStreamerLatencyPlotter
A small node.js program that allows you to calculate and display the latency of each element of the GStreamer pipeline
RNNforPairsTrading
A process for implementing a pairs-trade strategy portfolio, using an ensemble of machine learning models.
SectionwiseSongModeling
Project for CS 4120 Natural Language Processing
WatweA's Repositories
WatweA/RNNforPairsTrading
A process for implementing a pairs-trade strategy portfolio, using an ensemble of machine learning models.
WatweA/SectionwiseSongModeling
Project for CS 4120 Natural Language Processing
WatweA/android-TestCppApp
A template C++ Android app made with Android Studio
WatweA/DeepSpeech
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
WatweA/ffmpeg-video-player
An FFmpeg and SDL Tutorial.
WatweA/FunScripts
WatweA/GStreamerLatencyPlotter
A small node.js program that allows you to calculate and display the latency of each element of the GStreamer pipeline
WatweA/jellyfin
The Free Software Media System
WatweA/nixcfg
My NixOS configurations
WatweA/jetpack-nixos
NixOS module for NVIDIA Jetson devices
WatweA/mcap
MCAP is a modular, performant, and serialization-agnostic container file format, useful for pub/sub and robotics applications.
WatweA/megaTinyCore
Arduino core for the tinyAVR 0/1/2-series - Ones's digit 2,4,5,7 (pincount, 8,14,20,24), tens digit 0, 1, or 2 (featureset), preceded by flash in kb. Library maintainers: porting help available!
WatweA/nix-ros-overlay
ROS overlay for the Nix package manager
WatweA/nixos-docker-sd-image-builder
Build custom SD images of NixOS for your Raspberry Pi (or any other supported AArch64 device) in 5-20 minutes.
WatweA/USWageDataAnalysis
Final project for DS3000 Northeastern University