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A curated list of awesome papers on dataset distillation and related AI/ML applications.
A PyTorch-based deep learning framework for 2D/3D medical image segmentation.
An open-source AI-powered platform for building intelligent agents and applications with built-in citations, deep research, and more.
An AI datastore for managing schemas, BLOBs, and predictions to build AI-powered applications.
Cross-modal lip reading using 3D convolutional neural networks for speech recognition.
Deep learning library for Rust with shape-checked tensors and neural networks
Implementation of a 1-bit Transformer model for large language models in PyTorch.
A benchmarking tool for evaluating the performance of popular machine learning algorithms and libraries.
A curated list of papers about using deep learning for protein design.
This is a PyTorch implementation of ArcFace, a deep learning-based face recognition algorithm.
A deep learning package for many-body potential energy representation and molecular dynamics
A high-fidelity 3D creation tool from a single image using diffusion models for vibe coders.
Official implementation of a decomposable multiscale mixing model for time series forecasting
A Python library for learning the fundamentals of machine learning and deep learning from scratch.
CAM is a MATLAB library for generating Class Activation Maps, a technique for visualizing what a deep learning model focuses on.
A Python library for deep and online learning with spiking neural networks (SNNs) using PyTorch.
A TensorFlow template application for building deep learning models and deploying them to production.
Efficient AI model training on medical images using any deep learning framework.
Petastorm enables training and evaluation of deep learning models from Apache Parquet datasets.
An open-source Python library for recognizing Chinese characters using a CRNN (Convolutional Recurrent Neural Network) model.
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