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A high-performance image processing library designed to optimize and extend the Albumentations library with specialized functions for advanced image transformations. Perfect for developers working in computer vision who require efficient and scalable image augmentation.
:sunrise: A comprehensive, cutting-edge open-source framework for next-generation Transformers, with compute-matched benchmarking and a platform for autonomous architecture research.
Simplify your onnx model
GPT-2 transformer for controllable, multitrack symbolic music generation
🧪Yet Another ICU Benchmark: a holistic framework for the standardization of clinical prediction model experiments. Provide custom datasets, cohorts, prediction tasks, endpoints, preprocessing, and models. Paper: https://arxiv.org/abs/2306.05109
This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
OpenDPD is an end-to-end learning framework built in PyTorch for power amplifier (PA) modeling and digital pre-distortion (DPD). You are cordially invited to contribute to this project by providing your own backbone neural networks, pretrained models or measured PA datasets.
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
A universal scalable machine learning model deployment solution
A collection of resources (including the papers and datasets) of OCR (Optical Character Recognition).
Train and serve LLMs at extreme speed and massive throughput.
🤖 A Python library for learning and evaluating knowledge graph embeddings
A high-level machine learning and deep learning library for the PHP language.
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.