Showing 241-260 of 266 projects
A library for accelerating deep neural networks through channel pruning, a model compression technique.
A comprehensive library for sentiment analysis, text classification, and text adversarial defense, tailored for AI-powered developers.
An intuitive library to extract features from time series data for data science and machine learning.
Implementation of the ConvMixer architecture, a novel neural network design for image classification.
A text classifier library that uses Hierarchical Attention Networks for document classification.
A Python library for Chinese sentiment analysis using CNN, Bi-LSTM, and text classification.
A Python library for sentiment analysis, text classification, and other machine learning tasks on Weibo data.
A collection of research papers and resources on computer vision tasks like image classification, object detection, and face recognition.
Tutorials on implementing image classification architectures using PyTorch and TorchVision.
Unsupervised language modeling and robust sentiment classification for AI/ML developers.
A collection of machine learning tutorials covering various topics like anomaly detection, time series forecasting, and object detection.
A natural language detection library for Rust that can identify the language of text samples.
A highly accurate natural language detection library for Rust, suitable for short text and mixed-language text.
mlr3 is a next-generation machine learning framework in R that provides a unified API for various ML tasks.
A comprehensive library for few-shot learning in Python with PyTorch, featuring state-of-the-art algorithms.
A PyTorch-based solution for various text classification models, including FastText, LSTM, TextCNN, and more.
A high-resolution network (HRNet) model for image classification trained on the ImageNet dataset.
A curated list of gradient boosting research papers with implementations in Python.
LIBLINEAR is a high-performance library for large-scale linear classification tasks.
A PyTorch implementation of the I3D (Inflated 3D ConvNet) architecture for video classification tasks.
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