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transform-1

Input pipeline framework

transformer

Transformer for time series forecasting

transformerengine

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper GPUs, to provide better performance with lower memory utilization in both training and inference.

transformers

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

transformertts

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

trendet

:chart_with_upwards_trend: Python package for trend detection on stock time series data :chart_with_downwards_trend:

triton

Joyent Triton DataCenter: a cloud management platform with first class support for containers.

triton-1

Fork of Triton repository for OpenXLA uses of the Triton language and compiler

trocksdb

RocksDB modified to separate keys and values, resulting in a major decrease in write amplification without sacrificing performance

trump2swift

#Trump Tweet, #Machine Learning, #Stock, #AI

tsara

Official PyTorch implementations of our ICASSP 2021 paper "REAL VERSUS FAKE 4K - AUTHENTIC RESOLUTION ASSESSMENT"

tsunami-security-scanner

Tsunami is a general purpose network security scanner with an extensible plugin system for detecting high severity vulnerabilities with high confidence.

tui.editor

🍞📝 Markdown WYSIWYG Editor. Chart & UML in markdown syntax.

tuning_playbook

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

tutorial-book-utils

data loader function for tutorial book

tutorials

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

txt2mask

Automatically create masks for Stable Diffusion inpainting using natural language.

ubuntu-docker

ucx

Unified Communication X (mailing list - https://elist.ornl.gov/mailman/listinfo/ucx-group)

ultralytics

YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite

unirep

UniRep model, usage, and examples.

unirep-analysis

Analysis and figure code from Alley et al. 2019.

unix-v

unix-v6

UNIX-V6 kernel

vae

Tensorflow implementation, explanation and experiments of "Variational Auto-Encoders"

vagrant-box

Vagrant box image builder for VirtualBox

vba-next-switch

Libretro VBA-Next port for Switch

vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

video-pre-training

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos