The Gudhi library is an open source library for Computational Topology and Topological Data Analysis (TDA).
Compute cross sectional area of 3d shapes.
Extracting image features from state-of-the-art neural networks for Computer Vision made easy
Catalyst. Accelerated deep learning R&D with PyTorch.
QuEST simulator backend for qoqo quantum computing toolkit
A research and production integrated edge-cloud library for federated/distributed machine learning at anywhere at any scale.
Easy out-of-core computing of recursive dict
Compute the Pareto (non-dominated) set, i.e., skyline operator/query.
Pure-Python library for computing fuzzy hashes (ssdeep)
Qiskit Finance: A library of quantum computing finance experiments
A toolkit for making real world machine learning and data analysis applications
Fast computations of PCA/SVD/eigendecompositions via randomized methods
AWS's Braket devices interface for qoqo python quantum computing toolkit
Integration tools for running deep learning on Spark
A framework for quantum computing with hardware acceleration.
Compute numerical derivatives
Generic computation implementation on COINSTAC.
Securely transfer data between computers
Conversion of images to the Neuroglancer pre-computed format
AI2-THOR: A Near Photo-Realistic Interactable Framework for Embodied AI Agents
An inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application
Python bindings for MPI (includes MPICH binaries)
Python utilities for computer vision
Software for developing quantum computing programs
This is the module for detecting and classifying text on rama pictures
SPU aims to be a 'provable', 'measurable' secure computation device.
Accera - An optimizing cross-compiler for compute-intensive code
OpenMMLab Model Deployment
With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference CLI.
Lighthweight but caffeinated Python implementation of computational methods for statistical mechanical calculations of configurational states in crystalline material systems.
Python interface to qoqo calculator, the calculator backend of the qoqo quantum computing toolkit by HQS Quantum Simulations
OpenMMLab Computer Vision Foundation
Create properties that are only computed the first time they are called.
Utility functions to assist in the computation of ROC curve comparisons based on academic research.
Alibaba Cloud Elastic Compute Service (20140526) SDK Library for Python
OpenMMLab Video Understanding Toolbox and Benchmark
Find issues in image datasets
Basis of computational geometry.
OpenMMLab's next-generation platformfor general 3D object detection.
A tool for creating and deploying computational experiments
Python interface to AuditorClient
A relational data pipeline framework.
CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pairs. It can be instructed in natural language to predict the most relevant text snippet, given an image, without directly optimizing for the task, similarly to the zero-shot capabilities of GPT-2 and 3. We found CLIP matches the performance of the original ResNet50 on ImageNet “zero-shot” without using any of the original 1.28M labeled examples, overcoming several major challenges in computer vision.
Core components of the pyiron integrated development environment (IDE) for computational materials science
Python wrapper for Stanford CoreNLP.
Tensorflow keras computer vision attention models. Alias kecam. https://github.com/leondgarse/keras_cv_attention_models