Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.
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Updated
May 28, 2024 - Python
Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Digital-analog quantum programming interface
Probabilistic time series modeling in Python
CoreML custom layer (GPU-accelerated) and converter for torchvision.ops.deform_conv2d
A deep learning model and training/testing/inference library in PyTorch for segmentation, classification, object detection and self-supervised learning using radiology data.
A Python toolbox for deep image reconstruction, with emphasis on single-pixel imaging.
Use your camera to control the mouse from a distance
A gentle introduction to custom gradient propagation for ML application in which parameters of LTI systems have to be optimized. This example enables the integration of control theory with machine learning, for the development of Physical-Informed Neural Networks (PINNs)
🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
Generate insights and rankings for potential candidates
View model summaries in PyTorch!
Deep learning framework for the mlr3 ecosystem based on torch
Doing non-Cartesian MR Imaging has never been so easy.
Pytorch implementation of "Genie: Generative Interactive Environments", Bruce et al. (2024).
High Quality Image Generation Model - Comes Under NGC Models @prithivmlmods
Stable Diffusion and LLMs offline on your own hardware
Fast stable diffusion on CPU
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