AI Tools that transform your day
Find AI tools that enhance data scientists' workflows for data preparation, model building, visualization, and deploying machine learning solutions.
NVIDIA NeMo is a scalable, cloud-native framework for developing and deploying state-of-the-art generative AI models across multiple domains.
NLP Architect is an open-source library for optimizing and exploring advanced deep learning models in Natural Language Processing and Understanding.
PixelCNN is a Python/TensorFlow implementation of a powerful generative model that efficiently generates images using convolutional neural networks.
PlaidML is a portable tensor compiler that accelerates deep learning across diverse hardware, enhancing performance without CUDA dependencies.
Reformer is a PyTorch implementation of the efficient transformer model, featuring LSH attention and reversible networks for handling long sequences.
RetinaNet is a Keras implementation of an object detection model that utilizes Focal Loss for improved accuracy in dense object detection tasks.
R-FCN is a Python implementation of Faster R-CNN for real-time object detection, providing efficient training and testing capabilities on GPUs.
RoBERTa is an advanced NLP model that optimizes BERT's pretraining for improved performance on various language tasks through enhanced training techniques.
SBERT is a framework for generating high-quality sentence embeddings using transformer models, enabling efficient semantic understanding and similarity comparisons across languages.
Shumai is an experimental fast differentiable tensor library for TypeScript and JavaScript, optimized for GPU computation and advanced model training.
Sketch is an AI code-writing assistant for pandas users that enhances data analysis by providing context-aware coding suggestions without IDE plugins.
Snorkel is a Python library for programmatically building and managing training data, enhancing machine learning projects through weak supervision techniques.
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