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tkform

a tkinter form-based GUI to run python scripts

tmtheme-editor

Color scheme editor for SublimeText, Textmate and a bunch of other text editors

tmux-continuum

Continuous saving of tmux environment. Automatic restore when tmux is started. Automatic tmux start when computer is turned on.

tnt

Simple tools for logging and visualizing, loading and training

tomorrow-theme

Tomorrow Theme the precursor to Base16 Theme

tools-to-design-or-visualize-architecture-of-neural-network

Tools to Design or Visualize Architecture of Neural Network

torch7

torchssl

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

training-kit

Open source slides, workbook, and cheat sheet courseware for teaching Git and GitHub classes. Hosted at http://training.github.com/kit/ for immediate use.

transferlearning

Resources and codes about transfer learning and domain adaptation--迁移学习

transformer-cnn-emotion-recognition

Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between

transformer-transducer

A pytorch implementation of Transformer Transducer(T-T)

transformers

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

translators

Zotero Translators

trending_arxiv

Track trending arXiv papers on Twitter from within your circle

triplet-loss-train-for-speaker-recognition

It is a complete project of voiceprint recognition or speaker recognition.Before, I upload a very classic VGG based model for speaker recognition . The model simply use softmax-loss to train super-parameters. But during testing stage,we found the model is not very reliable。for example, the model can easily distinguish man-man group, and man-woman group, but difficultly in woman-woman. So, we try another method called triplet-group to retrain our model, of course, we use triplet-loss as the loss for back propagation. The I upload our core code, and training curve for the two training stage. Why, I refer to "two training stage"? That need you to understand the triplet-group method. And very very welcome to my mailbox: [email protected]

triplet-network-pytorch

tts

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

tts_course

ttw

Matlab implementation of the trainable time warping (TTW) algorithm

tvconv

[CVPR 2022] TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing

twist

Official codes: Self-Supervised Learning by Estimating Twin Class Distribution

typeset

ucberkeley-cs61c

ufldl-tutorial

Solutions to Andrew Ng's Unsupervised Feature Learning and Deep Learning Tutorial

uis-rnn

This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

unicodeit

Converts LaTeX tags to unicode: \mathcal{H} → ℋ. Available on the web or as Automator script for the Mac.

unispeech

UniSpeech - Large Scale Self-Supervised Learning for Speech

university-notes

Notes from various courses at the University of Waterloo.

unix-text-commands

Unix Text Processing Command Reference