• Keras

  • Referenced in 119 articles [sw15491]
  • TensorFlow. Keras is a minimalist, highly modular neural networks library, written in Python and capable ... easy and fast prototyping (through total modularity, minimalism, and extensibility). supports both convolutional networks...
  • MIGA

  • Referenced in 3 articles [sw00576]
  • models generated by this tool are modular neural networks. Each module behaves like a functional...
  • NeuSim

  • Referenced in 1 article [sw01603]
  • NeuSim: A modular neural networks simulator for Beowulf clusters. We present a neural networks simulator...
  • TFLearn

  • Referenced in 1 article [sw21054]
  • level API for TensorFlow. TFlearn is a modular and transparent deep learning library built ... high-level API for implementing deep neural networks, with tutorial ... examples. Fast prototyping through highly modular built-in neural network layers, regularizers, optimizers, metrics... Full...
  • PyBrain

  • Referenced in 10 articles [sw12670]
  • PyBrain is a modular Machine Learning Library for Python. Its goal is to offer flexible ... Based Reinforcement Learning, Artificial Intelligence and Neural Network Library. In fact, we came up with...
  • NICO

  • Referenced in 1 article [sw27599]
  • artificial neural networks and training with the back-propagation learning algorithm. The network topology ... specify multi-layer networks with arbitrary connection structure and to build modular networks...
  • Joone

  • Referenced in 1 article [sw30673]
  • applications based on neural networks. Joone consists of a modular architecture based on linkable components ... build new learning algorithms and neural networks architectures. All the components have specific features, like...
  • NiftyNet

  • Referenced in 3 articles [sw32332]
  • TensorFlow-based open-source convolutional neural networks platform for research in medical image analysis ... image-guided therapy. NiftyNet’s modular structure is designed for sharing networks and pre-trained...
  • Garage

  • Referenced in 1 article [sw35088]
  • range of modular tools for implementing RL algorithms, including: Composable neural network models; Replay buffers...
  • April-ANN

  • Referenced in 0 articles [sw19714]
  • Pattern Recognizer In Lua with Artificial Neural Networks). This toolkit incorporates ANN algorithms, with other ... Oriented Programming way. Efficient modular library for Artificial Neural Network. Other pattern recognition techniques...
  • BNNpriors

  • Referenced in 1 article [sw38530]
  • Chain Monte Carlo inference on Bayesian neural networks with a wide range of predefined priors ... mixture priors. Moreover, it follows a modular approach that eases the design and implementation ... cold posterior effect in Bayesian neural networks and will hopefully catalyze future research as well...
  • Julius

  • Referenced in 4 articles [sw21656]
  • Besides search efficiency, it is also modularized to be independent from model structures, and wide ... Recent version also supports Deep Neural Network (DNN) based real-time decoding...
  • GPflux

  • Referenced in 1 article [sw38081]
  • that consist of Bayesian and standard neural network layers in a single coherent framework. GPflux ... operations, which makes it an efficient, modular and extensible library, while having a lean codebase...
  • PiNN

  • Referenced in 1 article [sw30601]
  • established Behler-Parrinello high-dimensional neural network potential. These implementations were tested using datasets ... Amsterdam Modeling Suite. Moreover, PiNN is highly modularized which makes it useful not only...
  • GENEFER

  • Referenced in 1 article [sw16838]
  • introduce genetic algorithms and artificial neural networks as learning operators. These examples can either ... economic simulation model. The software GENEFER (GEnetic NEural Fuzzy ExploreR) has been developed for designing ... fuzzy rule base. The design process is modular and comprises input identification, fuzzification, rule base...
  • PCSIM

  • Referenced in 2 articles [sw12749]
  • designed for distributed simulation of large scale networks of spiking point neurons. Although its computational ... neural circuit simulator with data analysis and visualization tools to manage the full neural modeling ... bidirectional interface and PCSIM’s object-oriented modular framework enable the user to adopt...
  • KD-Lib

  • Referenced in 1 article [sw36234]
  • recent years, the growing size of neural networks has led to a vast amount ... library, which contains state-of-the-art modular implementations of algorithms from the three families...
  • Torchreid

  • Referenced in 1 article [sw30735]
  • recent years, particularly with convolutional neural networks (CNNs). In this paper, we present Torchreid ... future research. With a high-level modularity in its design, Torchreid offers a great flexibility...
  • FinRL

  • Referenced in 1 article [sw36051]
  • datasets, trading agents are trained with neural networks, and extensive backtesting is analyzed via trading ... organized in a layered architecture with modular structure, FinRL provides fine-tuned state...
  • ADOL-C

  • Referenced in 242 articles [sw00019]
  • ADOL-C: Automatic Differentiation of C/C++. We present...