Alternatives and similar repositories for heptrkx-ctd

Users that are interested in heptrkx-ctd are comparing it to the libraries listed below

• bstriner / bayesian_dense
  Bayesian Weight Uncertainty Dense Layer for Keras
  ☆48Updated 8 years ago
• qureai / ultrasound-nerve-segmentation-using-torchnet
  Repository for tackling Kaggle Ultrasound Nerve Segmentation challenge using Torchnet.
  ☆48Updated 8 years ago
• ravidziv / Information-bottleneck
  Python implementation of the infomration bottleneck method (tishby et al, 1999)
  ☆36Updated 8 years ago
• leonardoaraujosantos / LearnSegmentation
  Implement most common semantic segmentation algorithms
  ☆26Updated 7 years ago
• Orcuslc / OrthNet
  TensorFlow, PyTorch and Numpy layers for generating Orthogonal Polynomials
  ☆31Updated 7 years ago
• LAL / trackml-library
  Utilities for trackML challenge participants, provided by the organizers
  ☆169Updated 6 years ago
• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆124Updated 6 years ago
• AI-ON / Multitask-and-Transfer-Learning
  Benchmark and build RL architectures that can do multitask and transfer learning.
  ☆143Updated 2 years ago
• negrinho / deep_architect_legacy
  DeepArchitect: Automatically Designing and Training Deep Architectures
  ☆147Updated 5 years ago
• yhenon / fitted-learning
  Keras implementation of: Fitted Learning: Models with Awareness of their Limits
  ☆13Updated 8 years ago
• yell / mnist-challenge
  My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
  ☆70Updated 5 years ago
• rhaps0dy / convnets-as-gps
  Code for "Deep Convolutional Networks as shallow Gaussian Processes"
  ☆39Updated 6 years ago
• hep-lbdl / CaloGAN
  Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
  ☆110Updated last year
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• Atcold / pytorch-Video-Tutorials
  The versatility of Python enlightened by Torch to seize Deep Learning
  ☆129Updated 7 years ago
• jhui / deep_learning
  ☆85Updated 2 years ago
• bgavran / Improved_WGAN
  Implementation of the "Improved Training of Wasserstein GANs" paper in TensorFlow
  ☆17Updated 6 years ago
• MaestroGraph / sparse-hyper
  Code for the paper "Learning sparse transformations through backpropagation"
  ☆43Updated 5 years ago
• DLHacks / SRU
  The Statistical Recurrent Unit in Pytorch
  ☆33Updated 7 years ago
• soumith / traffic-sign-detection-homework
  nyu-cv-fall-2017 assignment 3
  ☆51Updated 6 years ago
• panweihit / DropNeuron
  DropNeuron: Simplifying the Structure of Deep Neural Networks
  ☆59Updated 9 years ago
• hamaadshah / gan_tensorflow
  Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
  ☆51Updated 2 years ago
• diux-dev / ncluster
  ☆37Updated 6 years ago
• Britefury / batchup
  Python library for extracting mini-batches of data from a data source for the purpose of training neural networks
  ☆87Updated 6 years ago
• uvadlc / uvadlc_practicals_2016
  Repository for practical assignments for UvA Deep Learning Course 2016
  ☆51Updated 7 years ago
• llSourcell / Neural_Arithmetic_Logic_Units
  This is the code for "Neural Arithmetic Logic Units" By Siraj Raval on Youtube
  ☆91Updated 6 years ago
• AI-ON / TheConsciousnessPrior
  AI-ON Consciousness Prior
  ☆94Updated 7 years ago
• offbit / evo-design
  Code for my blog post "Design by Evolution"
  ☆21Updated 7 years ago
• lixilinx / psgd_tf
  Tensorflow implementation of preconditioned stochastic gradient descent
  ☆34Updated last year
• henryre / pytorch-fitmodule
  Super simple fit method for PyTorch Modules
  ☆101Updated 5 years ago