Repository collecting resources and best practices to improve experimental rigour in deep learning research.
A PyTorch research evolution of language models from standard Euclidean transformers to adaptive hybrid-manifold architectures with spiking neural networks.
Medical Image Labelling Laboratory.
This repository offers a Python Package for the PyTorch implementation of the APTx activation function, as introduced in the paper "APTx: Better Activation Function than MISH, SWISH, and ReLU's Variants used in Deep Learning".
This repository maintains Deep learning papers and its implementation.
VAlign-Robust: A research framework for quantifying and mitigating semantic hallucination drift in Vision-Language Models (VLMs) under sensory degradation and adversarial noise.
This repository implements a deep learning pipeline for skin lesion classification using the InceptionResNetV2 architecture on the HAM10000 dermoscopic image dataset, including data preprocessing, augmentation, class imbalance handling, and detailed performance evaluation.
styleGAN implementation Pytorch (Research)
Multi-head mHC (manifold-constrained hyper-connections): code, raw results of 629 TPU runs, and the paper
Native low-bit (NLT) diffusion models — the weights live in the quantized space from step 0 instead of being compressed after fp16 pre-training. Home of the AquariusImage series: Aquarius Terimage (ternary text-to-image, released) and Aquarius Binimage (planned).
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