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Will be on sabbatical leave for some time
- Ann Arbor, MI
- https://www.onlyduygu.com
- in/duygu-altinok-4021389a
- c/NLPwithDuygu
- https://medium.com/@duygu.altinok12
Stars
A PyTorch implementation of the 1d and 2d Sinusoidal positional encoding/embedding.
Large, modern dataset for speech recognition
Text to speech alignment using CTC forced alignment
Various speech datasets made available to the public
A framework for few-shot evaluation of language models.
This is an open source project (formerly named Listen, Attend and Spell - PyTorch Implementation) for end-to-end ASR implemented with Pytorch, the well known deep learning toolkit.
Simple implementations of attention modules adapted for the biological data domain.
(unofficial) Googletrans: Free and Unlimited Google translate API for Python. Translates totally free of charge.
The BlazeFace face detector model implemented in PyTorch
Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up…
The world's simplest facial recognition api for Python and the command line
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
Kaldi style neural network training in pytorch for use in place of nnet3 in Kaldi.
Faster Whisper transcription with CTranslate2
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Video classification tools using 3D ResNet
Easiest way of fine-tuning HuggingFace video classification models
👾 A Python API wrapper for Poe.com. With this, you will have free access to GPT-4, Claude, Llama, Gemini, Mistral and more! 🚀
The official implementation for the paper GECTurk: Grammatical Error Correction and Detection Dataset for Turkish
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
Robust recipes to align language models with human and AI preferences