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
Open source code for AlphaFold 2.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
AlphaFold 3 inference pipeline.
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
The repository host gives no description.
Efficiently computes derivatives of NumPy code.
A Python framework for GPU-accelerated simulation, robotics, and machine learning.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
A hardware-agnostic SDK for optimization problems: define a problem once, then lower it to any quantum or classical solver
Official git repository for Biopython (originally converted from CVS)
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
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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!
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
A python CAD programming library
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Repository for the main Dockerfile with the OpenWorm software stack and project-wide issues
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.
Optax is a gradient processing and optimization library for JAX.
Spectral simulation of analog photography processes