fyremael

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

CNTK

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

AirSim

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

Bash-Oneliner

A collection of handy Bash One-Liners and terminal tricks for data processing and Linux system maintenance.

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

lucid

A collection of infrastructure and tools for research in neural network interpretability.

lightning-hydra-template

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

encodec

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

Tidal-Media-Downloader

Download 'TIDAL' Music On Windows/Linux/MacOs (PYTHON/C#)

webdataset

A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.

ml4a

A python library and collection of notebooks for making art with machine learning.

pyquil

A Python library for quantum programming using Quil.

encoder4editing

Official implementation of "Designing an Encoder for StyleGAN Image Manipulation" (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766

v-diffusion-pytorch

v objective diffusion inference code for PyTorch.

diffusion_models

A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch

keras-unet

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

PNDM

The official implementation for Pseudo Numerical Methods for Diffusion Models on Manifolds (PNDM, PLMS | ICLR2022)

pixel_level_land_classification

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

DataScienceVM

Tools and Docs on the Azure Data Science Virtual Machine (http://aka.ms/dsvm)

cliffordlayers

icassp19

Public repository for the paper "Learning Sound Event Classifiers from Web Audio with Noisy Labels"

2nd-Freesound-Audio-Tagging-2019

Beat-Transformer

Codes for ISMIR 2022 paper: Beat Transformer: Demixed Beat and Downbeat Tracking with Dilated Self-Attention

singing-songstarter

Sing an idea ➡️ AI music sample🔥🎶

audio-diffusion

DreamSound

Code for Investigating Personalization Methods in Text to Music Generation

jlt

Johnson-Lindenstrauss transform (JLT), random projections (RP), fast Johnson-Lindenstrauss transform (FJLT), and randomized Hadamard transform (RHT) in python 3.x

WaivOps-HH-LFBB

HH-LFBB is an open audio dataset containing a series of drum recordings in the genre of hip hop and urban rhythms.

Digital-Filters-in-Audio-Signal-Processing

Digital FIR and IIR filters with intelligible Python codes using SciPy.