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Neural networks toolbox focused on medical image analysis
Image augmentation for machine learning experiments.
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
A framework for Privacy Preserving Machine Learning
Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19
Visualizer for neural network, deep learning and machine learning models
Python Implementation of Reinforcement Learning: An Introduction
Interactive Data Visualization in the browser, from Python
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
A simple way to browse ImageNet classes and download some images from it.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Spherical CNNs on Unstructured Grids Using Parameterized Differential Operators
Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
An adversarial example library for constructing attacks, building defenses, and benchmarking both
High Fidelity Simulator for Reinforcement Learning and Robotics Research.
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)