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Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint
An open source implementation of CLIP.
A simple way to keep track of an Exponential Moving Average (EMA) version of your Pytorch model
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
LLM-powered code documentation generation
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
Open standard for machine learning interoperability
A Python wrapped version of the Neighborhood Graph Library (NGL) developed by Carlos Correa and Peter Lindstrom with additional parameters and graph types.
Annotation tool (NER) for XML documents (TEI, EAD) - WIP
Inference code for Persimmon-8B
Fuzzy C-Means Clustering in Golang with support for custom data types
A Go (golang) library wrapping microsoft/onnxruntime.
Programs to keep Docker login credentials safe by storing in platform keystores
Automatically find issues in image datasets and practice data-centric computer vision.
PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs
Intuitive Annotation Tool for Information Extraction / Named Entity Recognition using localturk / Amazon Mechanical Turk
skweak: A software toolkit for weak supervision applied to NLP tasks
Extracting Tables from Document Images using a Multi-stage Pipeline for Table Detection and Table Structure Recognition
Dockerized example to train Tesseract v. 4
hCaptcha Component Library for ReactJS and Preact
Automatically accept terms and conditions on public wifi so you don't have to