Alternatives and similar repositories for AdaBoostTrees

Users that are interested in AdaBoostTrees are comparing it to the libraries listed below

• ToniCreswell / DAAE_
  Denoising Adversairal Autoencoders
  ☆41Updated 8 years ago
• ynd / cae.py
  Contractive Auto-Encoders in Numpy
  ☆29Updated 13 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 7 years ago
• zhuhan1236 / transfer-caffe
  [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe
  ☆18Updated 8 years ago
• bruno-31 / GAN-manifold-regularization
  This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)
  ☆44Updated 6 years ago
• bruno-31 / gan-manifold-reg
  This is the code we used in our paper Manifold regularization with GANs for semi-supervised learning
  ☆24Updated 6 years ago
• liyu95 / NN_decision_boundary
  On the decision boundary of deep neural networks
  ☆38Updated 7 years ago
• ramarlina / DenoisingAutoEncoder
  Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation
  ☆150Updated 10 years ago
• jhui / deep_learning
  ☆85Updated 3 years ago
• y0ast / VAE-TensorFlow
  Implementation of a Variational Auto-Encoder in TensorFlow
  ☆208Updated 8 years ago
• Riashat / Deep-Bayesian-Active-Learning
  Code for Deep Bayesian Active Learning (ICML 2017)
  ☆112Updated 7 years ago
• pochih / MNIST-multitask
  6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"
  ☆42Updated 7 years ago
• gaohuang / SnapshotEnsemble
  Snapshot Ensembles in Torch (Snapshot Ensembles: Train 1, Get M for Free)
  ☆188Updated 8 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 12 years ago
• layerwise / AAE-tensorflow
  Tensorflow implementation of Adversarial Autoencoders (https://arxiv.org/abs/1511.05644)
  ☆37Updated 7 years ago
• jejjohnson / manifold_learning
  A repository with work-in-progress code: Schroedinger Eigenmaps for Manifold Learning
  ☆12Updated 7 years ago
• toantm / keras-bda
  A Bayesian Data Augmentation Approach for Learning Deep Models in Keras. Here is the link to a pytorch version: https://github.com/toant…
  ☆25Updated 8 years ago
• algorithmdog / Representation-based-Multilabel-Learning
  Representation based multi label classification with many labels
  ☆41Updated 9 years ago
• kevin-luc / MFM-MTMV
  Multilinear Factorization Machines for multi-task multi-view learning
  ☆19Updated 8 years ago
• jcklie / keras-autoencoder
  Collection of autoencoders written in Keras
  ☆37Updated 9 years ago
• zxlzr / Deep-Transfer-Learning
  Deep Transfer Learning Papers
  ☆81Updated 3 years ago
• samrussell / ssgan
  Semi supervised GAN implementation
  ☆12Updated 8 years ago
• corenel / pytorch-arda
  A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
  ☆50Updated 8 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆150Updated 7 years ago
• kvmanohar22 / Generative-Models
  Comparison of Generative Models in Tensorflow
  ☆97Updated 8 years ago
• ToniCreswell / pyTorch_DAAE
  Demonising Adversarial Auto-encoder in PyTorch
  ☆24Updated 7 years ago
• LinZhineng / transfer-learning
  ☆15Updated 10 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 8 years ago
• tabacof / bayesian-nn-uncertainty
  Classification uncertainty using Bayesian neural networks
  ☆33Updated 9 years ago
• hpcgarage / accelerated_dl_pytorch
  Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II
  ☆126Updated 7 years ago