Amir Djanibekov (djanibekov)

djanibekov

Geek Repo

Company:MBZUAI

Location:United Arab Emirates

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Amir Djanibekov's starred repositories

mixat

Emirati-English Code-Switching project

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aclpubcheck

Tools for checking ACL paper submissions

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SemEval2024-task8

SemEval2024-task8: Multidomain, Multimodel and Multilingual Machine-Generated Text Detection

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ParallelWaveGAN

Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch

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INTERSPEECH-2023-24-Papers

INTERSPEECH 2023-2024 Papers: A complete collection of influential and exciting research papers from the INTERSPEECH 2023-24 conference. Explore the latest advances in speech and language processing. Code included. Star the repository to support the advancement of speech technology!

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PaddleSpeech

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

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SpeechT5

Unified-Modal Speech-Text Pre-Training for Spoken Language Processing

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pytorch-examples

Simple examples to introduce PyTorch

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baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

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music-x-lab

A list of all repositories from Music X Lab

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pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

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FastTreeSHAP

Fast SHAP value computation for interpreting tree-based models

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aqueduct

Framework for create performance-efficient prediction

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Hands-On-Natural-Language-Processing-with-Python

Hands On Natural Language Processing with Python, published by Packt

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AutoMLWhitebox

Tool for whitebox (binning + logreg) model development

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facenet-pytorch

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

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face-recognition

A framework for creating and using a Face Recognition system.

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face-comparer

Neural net to compare human faces.

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datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

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