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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

transformers.js

Run 🤗 Transformers in your browser!

transformersum

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

transformertts

🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.

transforming-autoencoders

Transforming Autoencoder (Hinton et al.) implementation in TensorFlow. A way to get hands dirty with Hinton's capsules.

tree-of-thoughts

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

triton

Development repository for the Triton language and compiler

trl

Train transformer language models with reinforcement learning.

troco

A generative algorithm for music composition based on jazz theory

true_poetry

Poetry generator by gpt-2 with meter and rhyme constraints.

truss

Serve any model without boilerplate code

trustscore

To Trust Or Not To Trust A Classifier. A measure of uncertainty for any trained (possibly black-box) classifier which is more effective than the classifier's own implied confidence (e.g. softmax probability for a neural network).

ts-rust-zig-deez

tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

tslearn

A machine learning toolkit dedicated to time-series data

tts-generation-webui

TTS Generation Web UI (Bark, MusicGen + AudioGen, Tortoise, RVC, Vocos, Demucs)

tts-text-to-speech

Text-to-Speech (TTS) enables developers to synthesize natural-sounding speech with many voices, available in multiple languages and variants. It provides a high fidelity audio. With this easy-to-use script, you can create lifelike interactions with your users, across many applications and devices.

ttsr

[CVPR'20] TTSR: Learning Texture Transformer Network for Image Super-Resolution

tuigan-pytorch

PyTorch Implementation of ECCV 2020 Spotlight "TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images"

tune

tuned-lens

Tools for understanding how transformer predictions are built layer-by-layer

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

tuplex

Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code. Tuplex has similar Python APIs to Apache Spark or Dask, but rather than invoking the Python interpreter, Tuplex generates optimized LLVM bytecode for the given pipeline and input data set.

turbopilot

Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU

txt2imghd

A port of GOBIG for Stable Diffusion

txt2mask

Automatically create masks for Stable Diffusion inpainting using natural language.

txtai

💡 Build AI-powered semantic search applications

u-2-net

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

ucnet

UC-Net: Uncertainty Inspired RGB-D Saliency Detectionvia Conditional Variational Autoencoders, CVPR2020

ud851-exercises