Bongjun Kim (bongjun)

bongjun

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Location:USA

Home Page:https://www.bongjunkim.com/

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Bongjun Kim's starred repositories

paow

generation experiments

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encodec

State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

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whisper

Robust Speech Recognition via Large-Scale Weak Supervision

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abjad

Abjad is a Python API for building LilyPond files. Use Abjad to make PDFs of music notation.

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handcalcs

Python library for converting Python calculations into rendered latex.

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intro_dgm

"Deep Generative Modeling": Introductory Examples

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Working-with-the-Web-Audio-API

Various simple Web Audio API examples

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webmidi

Tame the Web MIDI API. Send and receive MIDI messages with ease. Control instruments with user-friendly functions (playNote, sendPitchBend, etc.). React to MIDI input with simple event listeners (noteon, pitchbend, controlchange, etc.).

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s4

Structured state space sequence models

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ismir-2021-tutorial-case-studies

Code for the ISMIR 2021 tutorial "Programming MIR Baselines from Scratch: Three Cases Studies"

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torchsynth

A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.

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NeMo

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

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pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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evidential-deep-learning

Learn fast, scalable, and calibrated measures of uncertainty using neural networks!

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deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

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expVAE

Visually Explainable VAE

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DALLE-pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

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DALL-E

PyTorch package for the discrete VAE used for DALL·E.

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taming-transformers

Taming Transformers for High-Resolution Image Synthesis

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dominate

Dominate is a Python library for creating and manipulating HTML documents using an elegant DOM API. It allows you to write HTML pages in pure Python very concisely, which eliminate the need to learn another template language, and to take advantage of the more powerful features of Python.

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meyda

Audio feature extraction for JavaScript.

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tensor-sensor

The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.

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ml-surveys

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

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DNS-Challenge

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

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uncertainty-toolbox

Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization

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denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

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julius

Fast PyTorch based DSP for audio and 1D signals

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awesome-creative-coding

Creative Coding: Generative Art, Data visualization, Interaction Design, Resources.

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annotated-transformer

An annotated implementation of the Transformer paper.

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ismir2020-metric-learning

ISMIR 2020 Tutorial for Metric Learning in MIR

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