Showing 161-180 of 266 projects
An R package for training and plotting classification and regression models.
An open-source toolbox and benchmark for model compression and acceleration in PyTorch.
A deep learning library for time series classification, useful for AI developers working with sensor and time-based data.
Data augmentation for NLP using CNN and RNN, presented at EMNLP 2019
A highly accurate natural language detection library for Python, suitable for short and mixed-language text.
A Python library for sentiment analysis on tweets using various machine learning models.
A collection of Python code and resources related to natural language processing tasks like topic modeling, text classification, and machine translation.
A comprehensive survey of deep learning techniques for 3D point cloud analysis, covering classification, detection, segmentation, and tracking.
A standard filetree template for data curation and organization, useful for developers interested in data management.
Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference
A fast and scalable SVM library for classification and regression tasks on GPUs and CPUs.
A PyTorch framework for image and video classification
Fast AutoAugment is an official PyTorch implementation for automatic data augmentation.
A curated list of papers, tutorials, and surveys on AI for time series analysis and forecasting.
A PyTorch-based framework for reproducible deep learning studies with 26 knowledge distillation methods.
Interpretable ML package for concise, transparent, and accurate predictive modeling.
PyTorch extensions for fast R&D prototyping and Kaggle competition tools
A comprehensive NLP toolkit for Chinese language processing, including chatbots, text similarity, classification, and more.
MLBox is a powerful automated machine learning Python library that simplifies and accelerates the machine learning workflow.
A Python library for creating multi-class confusion matrices, useful for evaluating machine learning models.
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