A highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning.
Visualizer for neural network, deep learning and machine learning models
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations
A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.
A library for encrypted, privacy preserving machine learning
An elegant, flexible, and superfast PyTorch deep reinforcement learning platform.
Cloud native machine learning automation platform
Deep relational learning through differentiable logic programming.
Intel Low Precision Inference Tool, targeting to provide a unified low precision inference interface cross different deep learning frameworks, and support auto-tune with specified accuracy criterion to find out best quantized model.