Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
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Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
A Python implementation of global optimization with gaussian processes.
- optimization
- gaussian-processes
- bayesian-optimization
- python
TranslatedA knowledge graph for mathematics (primary school to high school), English (grade 3 to high school), and junior high school physics: 1,644 knowledge points, 2,403 prerequisite edges, and 6,723 questions, aligned with the curriculum standards, with an adaptive prerequisite diagnostic.
- chinese
- curriculum
- diagnostic
- edtech
Efficiently computes derivatives of NumPy code.
- autograd
- automatic-differentiation
- numpy
- python
A Python framework for GPU-accelerated simulation, robotics, and machine learning.
- differentiable-programming
- python
- gpu-acceleration
- nvidia
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
- genetic-algorithm
- pso
- particle-swarm-optimization
- tsp
A Python based monitoring and tracking tool for Plex Media Server.
- plex
- plexpy
- python
- monitoring
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.
- physics-simulation
- robotics
- nvidia-warp
- newton-physics
Official git repository for Biopython (originally converted from CVS)
- python
- bioinformatics
- genomics
- biopython
A PyTorch Library for Accelerating 3D Deep Learning Research
- pytorch
- 3d-deep-learning
- neural-networks
- differentiable-rendering
Python framework for creating, editing, and running Noisy Intermediate-Scale Quantum (NISQ) circuits.
- nisq
- quantum-algorithms
- quantum-computing
- cirq
Official repository for the Boltz biomolecular interaction models
- binding-prediction
- drug-discovery
- protein-structure
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
- traffic
- simulation
- transport
Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.
- mesa
- agent-based-modeling
- agent-based-simulation
- simulation-framework
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
- tensorflow
- deep-neural-network
- genomics
- science
Python library for loading and using triangular meshes.
- mesh
- triangular-meshes
- geometry
- 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.
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
- optimization
- multi-objective-optimization
- nsga2
- nsga3
[IEEE TMI Best Paper Award] Official Implementation for UNet++
- medical-imaging
- segmentation
- unet
- biomedical-imaging