Tensors and Dynamic neural networks in Python with strong GPU acceleration
- neural-network
- autograd
- gpu
- numpy
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Tensors and Dynamic neural networks in Python with strong GPU acceleration
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
The fundamental package for scientific computing with Python.
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
A Python framework for GPU-accelerated simulation, robotics, and machine learning.
A hardware-agnostic SDK for optimization problems: define a problem once, then lower it to any quantum or classical solver
A PyTorch Library for Accelerating 3D Deep Learning Research
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
TranslatedDeepAnalyze is the first agentic LLM for autonomous data science. 🎈Your AI data analyst, automatically analyzes large amounts of data and generates professional analysis reports with one click!
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
A python CAD programming library
Infrastructure for evolutionary AI systems. GPU-accelerated, PyTorch-based optimization with an ecosystem of algorithm libraries, benchmarks, and tools.
An object-oriented algebraic modeling language in Python for structured optimization problems.
Sverchok is Node-based visual programming for parametric 3D modeling and computational geometry in Blender
A python Linear Programming API
ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
PyPSA: Python for Power System Analysis
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.
An open-source Python framework for hybrid quantum-classical machine learning.
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
Evolutionary algorithm toolbox and framework with high performance for Python
A deep learning package for many-body potential energy representation and molecular dynamics
A differentiable PDE solving framework for machine learning
A package for the sparse identification of nonlinear dynamical systems from data