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An AI-powered research assistant that performs deep research on any topic by combining search, scraping, and language models.
A Python library that converts images of LaTeX math equations into LaTeX code using computer vision and deep learning.
This is a PyTorch implementation of adversarial attacks, a tool for developers working on deep learning projects.
SparseML provides a library for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models.
Submanifold sparse convolutional networks for efficient deep learning on 3D data
A handwritten text recognition system implemented using TensorFlow for developers working with computer vision and OCR.
A repository containing notebooks of posts on Medium, focused on AI, data science, and machine learning topics.
A collection of TensorFlow tutorial code examples for learning deep learning from beginner to advanced.
A collection of Jupyter Notebook codes and tutorials for a variety of AI projects and data science tasks.
A Python library for optimizing deep learning models for faster inference on deployment platforms like TensorRT.
A library for differentiable nonlinear optimization, useful for computer vision and robotics tasks.
A Python library for graph deep learning research, focused on 3D graphs, explainable ML, and self-supervised learning.
Reference implementations of popular deep learning models for training and inference.
Keras Temporal Convolutional Network (TCN) library for building deep learning models with temporal dependencies.
A TypeScript library that accelerates the execution of deep neural networks in web browsers, optimized for AI-powered web apps.
Deep learning library for Apache Spark that provides high-level APIs and models for building machine learning pipelines.
GANimation is a PyTorch library for generating facial animations from a single image using generative adversarial networks.
A collection of research papers and software related to explainability in graph machine learning.
A Python library for building recommender systems using popular deep learning techniques like DeepFM, NCF, and more.
A PyTorch library for exploring deep and shallow knowledge distillation experiments with flexibility.
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