A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
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Updated
Jul 16, 2024 - C++
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Predicting mutation effects based on deep mutational scanning data
Reproduction package of the paper "Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We?" in The International Symposium on Empirical Software Engineering and Measurement (ESEM) 2024
Reproduction package of the paper "Mitigating Data Imbalance for Software Vulnerability Assessment: Does Data Augmentation Help?" in The International Symposium on Empirical Software Engineering and Measurement (ESEM) 2024
Library to perform efficient vision data augmentations for CPU/GPU per-sample/batched data.
Code release and project site for "CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning"
Code for "Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and Synthesis"
💎A high level pipeline for face landmarks detection, it supports training, evaluating, exporting, inference(Python/C++) and 100+ data augmentations, can easily install via pip.
Robust Transformer with Locality Inductive Bias and Feature Normalization (JESTECH 2023)
A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.
A generalizable application framework for segmentation, regression, and classification using PyTorch
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark
A high-performance Python-based I/O system for large (and small) deep learning problems, with strong support for PyTorch.
augini: AI-Powered Data Augmentation, Generation, Labeling, and Anonymization
Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets)
Code for ACL 2024 paper -- ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract Descriptions
KopikatAPI is Python library for interacting with the Kopikat API.
Medical imaging toolkit for deep learning
Differentiable elastic deformations for N-dimensional images (Python, SciPy, NumPy, TensorFlow, PyTorch).
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