Pinned Repositories
AdaCat
AdaCat
Adan
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
AdaptiveConformalPredictionsTimeSeries
aero
Audio Super Resolution in the Spectral Domain
aiSFX
Representation Learning for the Automatic Indexing of Sound Effects Libraries (ISMIR 2022): Deep audio embeddings pre-trained on UCS & Non-UCS-compliant datasets.
analytic_wavelet
A translation of J.M. Lilly's code for ridge and element analysis using generalized Morse wavelets into python
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
ARWaveletCNN
Adversarialy Robust WaveletCNN Code
asteroid
The PyTorch-based audio source separation toolkit for researchers
audio
Data manipulation and transformation for audio signal processing, powered by PyTorch
dhockaday's Repositories
dhockaday/audiolm-pytorch
Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch
dhockaday/Choral_Music_Separation
Chorale Music Separation Dataset and Model Framework
dhockaday/denoising_dgms
dhockaday/DHVT
This is an official implementation of our NeurIPS 2022 paper "Bridging the Gap Between Vision Transformers and Convolutional Neural Networks on Small Datasets".
dhockaday/HiveNAS
A powerful and adaptive Neural Architecture Search framework based on Artificial Bee Colony optimization
dhockaday/MHCCL
MHCCL: Masked Hierarchical Cluster-wise Contrastive Learning for Multivariate Time Series - a PyTorch Version (AAAI-2023)
dhockaday/pennylane
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.
dhockaday/py2lispIDyOM
A Python package for IDyOM
dhockaday/separating_periodic_from_aperiodic_PSDs
Gerster et al. 2022. "Separating neural oscillations from aperiodic 1/f activity: challenges and recommendations."
dhockaday/yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
dhockaday/c2far_forecasting
This repository contains code for the paper: S Bergsma, T Zeyl, JR Anaraki, L Guo, C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting, In NeurIPS'22
dhockaday/data-describe
data⎰describe: Pythonic EDA Accelerator for Data Science
dhockaday/deeplab2
DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.
dhockaday/english-words
:memo: A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion
dhockaday/FECAM
About Code release for "FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting" (In VLDB 2023 Submission)
dhockaday/FluidCorpusMap
dhockaday/meerkat
Flexible data structures for complex machine learning datasets.
dhockaday/Megatron-LM
Ongoing research training transformer models at scale
dhockaday/midi_melody_extraction
dhockaday/nnabla
Neural Network Libraries
dhockaday/OS-CNN
dhockaday/PM2S
Performance MIDI to Score (PM2S) Toolbox
dhockaday/prontoqa
Synthetic question-answering dataset to formally analyze the chain-of-thought output of large language models on a reasoning task.
dhockaday/pySINDy-1
SINDy (Sparse Identification of Nonlinear Dynamics) algorithms
dhockaday/pytorch_scatter
PyTorch Extension Library of Optimized Scatter Operations
dhockaday/s3prl
Self-Supervised Speech/Sound Pre-training and Representation Learning Toolkit
dhockaday/t5x
dhockaday/Tidal
Pattern language
dhockaday/torchscale
Transformers at any scale
dhockaday/Tri-Level-ViT
[AAAI 2023] Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training