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
NumPy & SciPy for GPU
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
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.
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
POT : Python Optimal Transport
Single-cell analysis in Python. Scales to >100M cells.
Reverse engineering SARS-CoV-2
Differentiable convex optimization layers
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
An implementation of chunked, compressed, N-dimensional arrays for Python.
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials Project.
A package for the sparse identification of nonlinear dynamical systems from data
Elegant astronomy for Python
Fast and flexible physics-based battery models in Python
Deep probabilistic analysis of single-cell and spatial omics data
Implementation of Alphafold 3 from Google Deepmind in Pytorch
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
GPU-optimized version of the MuJoCo physics simulator, designed for NVIDIA hardware.