Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
- ocr
- chineseocr
- pdf2markdown
- pp-ocr
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Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Easily train a good VC model with voice data <= 10 mins!
TranslatedChinese word segmentation, part-of-speech tagging, named entity recognition, dependency parsing, constituency parsing, semantic dependency parsing, semantic role labeling, coreference resolution, style transfer, semantic similarity, new word discovery, keyword and keyphrase extraction, automatic summarization, text classification and clustering, pinyin and Simplified/Traditional Chinese conversion, natural language processing
Unlimited OCR Works: Welcome the Era of One-shot Long-horizon Parsing.
A simple screen parsing tool towards pure vision based GUI agent
🦉 Data Versioning and ML Experiments
This repository contains the source code for the paper First Order Motion Model for Image Animation
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Gradio WebUI for creators and developers, featuring key TTS (Edge-TTS, kokoro) and zero-shot Voice Cloning (E2 & F5-TTS, CosyVoice), with Whisper audio processing, YouTube download, Demucs vocal isolation, and multilingual translation.
An open-source, tool-augmented conversational language model from Fudan University
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
An open-source document parsing model with SOTA accuracy and speed, using an RSI loop during post-training.
A large collection of system log datasets for AI-driven log analytics [ISSRE'23]
1M param OCR model - runs on CPU, 15x faster than tesseract, close to 1B+ param models in accuracy
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
Koç University deep learning framework.
An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.
Java API for Natural Language Generation. Originally developed by Ehud Reiter at the University of Aberdeen’s Department of Computing Science and co-founder of Arria NLG. This git repo is the official SimpleNLG version.
A Modern C++ Data Sciences Toolkit
Parse human names into title, given, middle, family, suffix, nickname and maiden name. Typed, zero-dependency, CJK-aware.