Alternatives and similar repositories for solar-cell

Users that are interested in solar-cell are comparing it to the libraries listed below

• lfoppiano / SuperMat
  Superconductors material dataset
  ☆26Updated last year
• google-deepmind / flows_for_atomic_solids
  ☆53Updated 2 years ago
• superstar54 / pyliterature
  A Pythonic wrapper for the scientific journal, including Nature, Science, ScienceDirect, Wiley, ACS publication, RSC publication and so o…
  ☆21Updated 5 years ago
• juliusberner / deep_kolmogorov
  Numerically Solving Parametric Families of High-Dimensional Kolmogorov Partial Differential Equations via Deep Learning (NeurIPS 2020)
  ☆22Updated 3 years ago
• MuonRay / QuantumNetworkSimulations
  A series of simulation codes used to emulate quantum-like networks in the simulation of emergent adaptive behavior, such as network sync…
  ☆14Updated last month
• daskol / nls
  Non-linear Schrodinger Equation Solver
  ☆13Updated 11 months ago
• JordanMicahBennett / Supermathematics-and-Artificial-General-Intelligence
  I clearly unravel how I came to invent the supermanifold hypothesis in deep learning, (a part of a system called 'thought curvature') in …
  ☆20Updated 2 years ago
• omnia-md / omnia-md
  ☆12Updated 10 years ago
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆50Updated 4 years ago
• juliagusak / neural-ode-metasolver
  Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
  ☆25Updated 4 years ago
• AnirudhDagar / MessagePassing_for_GNNs
  Experiments with Message Passing GNNs in C++ and PyTorch.
  ☆26Updated last year
• CLEANit / heatenginegym
  A collection of heat engines, based on the OpenAI Gym environment framework for use with reinforcement learning applications.
  ☆15Updated 3 years ago
• gcucurull / jax-gcn
  Graph Convolutional Networks in JAX
  ☆33Updated 4 years ago
• hjmshi / noise-tolerant-bfgs
  ☆17Updated 4 years ago
• aormorningstar / GenerativeNeuralNets
  Implementation of restricted Boltzmann machine, deep Boltzmann machine, deep belief network, and deep restricted Boltzmann network models…
  ☆12Updated 4 years ago
• lfoppiano / material-parsers
  Material parsers and other tools, scripts Initially developed for Grobid Superconductor
  ☆13Updated 7 months ago
• adipandas / SmallWorldNetCA
  Small world networks in Cellular Automata
  ☆19Updated 4 years ago
• rbondesan / CanonicalFlows
  Canonical normalizing flows
  ☆10Updated 6 years ago
• zhengdao-chen / SRNN
  Symplectic Recurrent Neural Networks
  ☆28Updated 2 years ago
• unlearnai / neural-boltzmann-machines
  Official Implementation of Neural Boltzmann Machines
  ☆25Updated last year
• gomerudo / nas-env
  A simple OpenAI Gym environment for Neural Architecture Search (NAS)
  ☆30Updated 5 years ago
• attentionneuron / attentionneuron.github.io
  ☆26Updated 3 years ago
• danieljtait / jax_xla_adventures
  Dive into Jax, Flax, XLA and C++
  ☆32Updated 5 years ago
• ejmichaud / precision-ml
  ☆13Updated 2 years ago
• dylandoblar / noether-networks
  Meta-learning inductive biases in the form of useful conserved quantities.
  ☆37Updated 2 years ago
• daviesl / trjp
  Source code repository for the AISTAT 2023 paper Transport Reversible Jump Proposals.
  ☆10Updated 2 years ago
• torchmd / mdgrad
  Pytorch differentiable molecular dynamics
  ☆180Updated 3 years ago
• WayneDW / Contour-Stochastic-Gradient-Langevin-Dynamics
  An elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)
  ☆42Updated 3 years ago
• tailintalent / AI_physicist
  AI Physicist, a paradigm with algorithms for learning theories from data, by Wu and Tegmark (2019)
  ☆34Updated 4 years ago
• CMU-Graphics / molecular-dynamics
  Skeleton code and visualization for basic molecular dynamics simulator
  ☆27Updated 3 years ago