Beast code in Giters

Paolo Combes's starred repositories

awesome-juce

A curated list of JUCE modules, templates, plugins, oh my!

Language:RubyMIT78800

Machine learning library for symbolic fitting: the unknown system/function is described via NARMAX algebraic expressions being linear combinations of arbitrary non-linear terms provided by the user (like 0.2x²+0.7sin(x) or x[k-1]*y[k-4]^2).

Language:PythonBSD-3-Clause200

spinvae2

Language:PythonAGPL-3.0300

TokenLearner

TensorFlow implementation of "TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?"

Language:Jupyter NotebookMIT3300

rtdl-revisiting-models

(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data

Language:PythonApache-2.020900

Scyclone

Real-time Neural Timbre Transfer

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dasp-pytorch

Differentiable audio signal processors in PyTorch

Language:PythonApache-2.022500

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Language:PythonMIT878700

torchinfo

View model summaries in PyTorch!

Language:PythonMIT254800

torchsynth

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

Language:PythonApache-2.032600

lightning-hydra-template

PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

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Awesome_Matching_Pretraining_Transfering

The Paper List of Large Multi-Modality Model, Parameter-Efficient Finetuning, Vision-Language Pretraining, Conventional Image-Text Matching for Preliminary Insight.

MIT39500

preset-gen-vae

Language:PythonAGPL-3.02000

kaggle-computer-vision-competition

In this competition, we are given the images of a handwritten Bengali grapheme and are challenged to separately classify three constituent elements in the image: grapheme root, vowel diacritics, and consonant diacritics. This is the combined effort to build a pipeline in PyTorch and to have modular state of the art image classification code. WIP

Language:Jupyter NotebookMIT2000

atiam_ml

Music Machine Learning course for the ATIAM Masters

Language:Jupyter NotebookMIT1700

inver-synth

A Python implementation of the InverSynth method (Barkan, Tsiris, Koenigstein, Katz)

Language:PythonApache-2.02800

DeepSynth

300

umap_tsne_embedding_visualiser

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audio-diffusion-pytorch

Audio generation using diffusion models, in PyTorch.

Language:PythonMIT193300

frechet-audio-distance

A lightweight library for Frechet Audio Distance calculation.

Language:PythonMIT23100

learnfm

A Python Yamaha DX7 module for audio learning

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DawDreamer

Digital Audio Workstation with Python; VST instruments/effects, parameter automation, FAUST, JAX, Warp Markers, and JUCE processors

Language:C++GPL-3.090800

vst-fm-sound-match

VST FM synthesizer fm sound match example experiment

Language:Jupyter NotebookMIT900

Sound2Synth

Sound2Synth: Interpreting Sound via FM Synthesizer Parameters Estimation

Language:Python7400

torchdistill

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

Language:PythonMIT136400

pcmbs