joshuadarecullen
BSc Computer Science , MSC Artificial Intelligence and Adaptive Systems, PhD Researcher in Environmental Intelligence
Exeter
joshuadarecullen's Stars
navidrome/navidrome
🎧☁️ Your Personal Streaming Service
bastienwirtz/homer
A very simple static homepage for your server.
aladdinpersson/Machine-Learning-Collection
A resource for learning about Machine learning & Deep Learning
SirVer/ultisnips
UltiSnips - The ultimate snippet solution for Vim. Send pull requests to SirVer/ultisnips!
snakers4/silero-models
Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple
Trusted-AI/AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
keyu-tian/SparK
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
louisfb01/start-llms
A complete guide to start and improve your LLM skills in 2024 with little background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
spectralpython/spectral
Python module for hyperspectral image processing
eecn/Hyperspectral-Classification
Hyperspectral-Classification Pytorch
junjun-jiang/Hyperspectral-Image-Super-Resolution-Benchmark
A list of hyperspectral image super-solution resources collected by Junjun Jiang
aditya-grover/climate-learn
Source code for ClimateLearn
KGPML/Hyperspectral
Deep Learning for Land-cover Classification in Hyperspectral Images.
junjun-jiang/Hyperspectral-Image-Denoising-Benchmark
A list of hyperspectral image denoising resources collected by Yongsen Zhao and Junjun Jiang.
ys-zong/awesome-self-supervised-multimodal-learning
[T-PAMI] A curated list of self-supervised multimodal learning resources.
williamFalcon/pytorch-lightning-vae
VAE for color images
fab-jul/imgcomp-cvpr
TensorFlow implementation of Conditional Probability Models for Deep Image Compression, published in CVPR 2018
AnkurDeria/HSI-Traditional-to-Deep-Models
Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.
xqding/TD-VAE
Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)
lucadibello/in-house-greenhouse
🐛 A new generation of smart indoor greenhouses!
orybkin/sigma-vae-pytorch
A σ-VAE implementation in PyTorch
inkarkat/vim-ReplaceWithRegister
Replace text with the contents of a register.
mwaseema/Drone-Detection
duanzhihua/pytorch-pretrained-BERT
A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.
choprashweta/Adversarial-Debiasing
Implementation of Adversarial Debiasing in PyTorch to address Gender Bias
zheng-yanan/techniques-for-kl-vanishing
This repository summarizes techniques for KL divergence vanishing problem.
mcallaghan/NLP-climate-science-tutorial-CCAI
wearepal/conduit
Lightweight framework for data-loading with PyTorch and harvesting the power of (PyTorch) lightning
alpercanberk/pytorch-lightning-vae
Implementation of various variational autoencoder architectures using Pytorch Lightning.
Belberus/TFG_CTRNN_Homeostasis
Bachelor's dissertation. Artificial agent controller based on Continuous Time Recurrent Neural Networks with homeostatic capabilities.