Making large AI models cheaper, faster and more accessible
- deep-learning
- hpc
- large-scale
- data-parallelism
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Making large AI models cheaper, faster and more accessible
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
A Python library for quantum programming using Quil.
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
Quantum Computer Library for Everyone
An agent that compiles git maintenance chores into reusable programs, then decides whether to replay them by running checks rather than by guessing the task looks familiar
The first exam for code agents in the physical world: frozen robot tasks from many benchmark suites, each answered with a program and verified in a separate sandbox. Runs on Harbor.
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
A strongly-typed genetic programming framework for Python
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions