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breaktimer

Simple pomodoro web timer with desktop notifications

code_snippets

codealpaca

data-science-env

Environment for data science with basic examples of workflows

deeplearningexamples

Deep Learning Examples

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.

gitignore

A collection of useful .gitignore templates

ir-gts

Tool for downloading/uploading pokemon to Gen-IV games via the in-game GTS

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nn-zero-to-hero

Neural Networks: Zero to Hero

numgpt

A GPT implementation written purely in numpy

paclab-www

PACLab website

paclabgitscripts

Simple shell scripts for filtering repositories on PAClab

python-computer-publish

A 16-bit virtual computer written in Python based on only two primitives, the nand_gate function and the Bit class. This computer and its architecture are based on the HACK computer from the nand2tetris free online class.

queues-stacks

Classes for queues and stacks

real-time-voice-cloning

Clone a voice in 5 seconds to generate arbitrary speech in real-time

really-simple-neural-network

A ridiculously primitive NN for predicting weight fluctuations going up/down/staying the same. Trained on a whopping 3 lines of data with a miniscule 1500 epochs. It's bad. Keeping around for note keeping purposes

repo-cleaner

Script for cleaning repositories

simple-finance-pwa

A simple pwa built with basic html, css, and javascript. Responsive and can be installed to different platforms.

tacotron

A PyTorch implementation of Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis

universalvocoding

A PyTorch implementation of "Robust Universal Neural Vocoding"

virtual-assistant

Virtual assistant with python using google's speech recognition and IBM Watson Text-to-Speech

wavenet

Basic implementation of the WaveNet as described in the paper published by DeepMind