Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
- segmentation
- image-processing
- pspnet
- unet
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Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Content aware image resize library
Fast and Accurate ML in 3 Lines of Code
Open source annotation tool for machine learning practitioners.
TranslatedTranslate manga/image: one-click translation of text in all kinds of images https://cotrans.touhou.ai/ (no longer working)
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Web mining module for Python, with tools for scraping, natural language processing, machine learning, network analysis and visualization.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
🌊 Online machine learning in Python
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
State of the Art Natural Language Processing
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
Accelerated deep learning R&D
A library for audio and music analysis, feature extraction.
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
List of articles related to deep learning applied to music
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Data manipulation and transformation for audio signal processing, powered by PyTorch
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
A machine translation reading list maintained by Tsinghua Natural Language Processing Group