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Seb Parkitny's Projects

cdaae icon cdaae

This is the code of experiments in paper Cross-Domain Adversarial Auto-Encoder(https://arxiv.org/abs/1804.06078)

chatgpt icon chatgpt

Lightweight package for interacting with ChatGPT's API by OpenAI. Uses reverse engineered official API.

face-gan icon face-gan

Re-implement of my old FaceGAN proj from TF 1.x to 2.x

german_transliterate icon german_transliterate

Python module to clean and transliterate (i.e. normalize) German text including abbreviations, numbers, timestamps etc. It can be used to clean messy text (e.g. map peculiar Unicode encodings to ASCII) or replace common abbreviations in text in combination with various text mining tasks.

kws icon kws

Keyword Spotting with Resnet variants.

models icon models

Models and examples built with TensorFlow

ogles_gpgpu icon ogles_gpgpu

GPGPU for mobile devices and embedded systems using OpenGL ES 2.0

openai-taxi icon openai-taxi

DLND mini project - Implementation of SARSA agent for taxi control

precision-recall-f1 icon precision-recall-f1

An interactive representation of sensitivity, precision, recall, specificity, F1 score and Dice's coefficient to build intuition for machine learning

pyclan icon pyclan

Library for working with CLAN files

python-mss icon python-mss

An ultra fast cross-platform multiple screenshots module in pure Python using ctypes.

rl-project icon rl-project

Reinforcement learning project, teach a quadcopter to fly DLND

rnn-project icon rnn-project

rnn-project from the Udacity Deep Learning Nano Degree

tensorflowtts icon tensorflowtts

:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

train-clip icon train-clip

A PyTorch Lightning solution to training OpenAI's CLIP from scratch.

transformers icon transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

voxseg icon voxseg

A python library for voice activity detection (VAD) for speech/non-speech segmentation.

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