Alternatives and similar repositories for fastann

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

• djsutherland / cyflann
  A Cython interface to FLANN
  ☆24Updated 4 years ago
• hunterlang / mpmz
  miniplaces2 deep residual network in neon
  ☆16Updated 9 years ago
• ChrisRackauckas / TBEEF
  TBEEF, a doubly ensemble framework for recommendation and prediction problems.
  ☆20Updated 9 years ago
• abietti / stochs
  stochs: fast stochastic solvers for machine learning in C++ and Cython
  ☆26Updated 2 years ago
• philbinj / fastcluster
  A library for fast, distributed clustering
  ☆16Updated 15 years ago
• vchahun / yart
  Yet another regression toolkit
  ☆12Updated 11 years ago
• nouiz / ccw_tutorial_theano
  Common Code Workflow tutorial on Theano
  ☆16Updated 9 years ago
• strin / DeepBayes
  Code for Max-Margin Deep Generative Models
  ☆12Updated 10 years ago
• davmre / treegp
  Gaussian Process Regression for Python/Numpy
  ☆14Updated 9 years ago
• soumith / cuda-convnet2.torch
  Torch7 bindings for cuda-convnet2 kernels!
  ☆40Updated 8 years ago
• mrkulk / NeuralPartialProgramSynthesis
  Work in progress. Read at your own risk.
  ☆14Updated 9 years ago
• djsutherland / py-sdm
  Python implementation of nonparametric nearest-neighbor-based estimators for divergences between distributions.
  ☆48Updated 8 years ago
• rizalzaf / adversarial-multiclass
  Adversarial Multiclass Classification: A Risk Minimization Perspective
  ☆28Updated 5 years ago
• craffel / lstm_benchmarks
  Benchmarking different LSTM libraries
  ☆24Updated 9 years ago
• redpony / cpyp
  C++ library for modeling with Pitman-Yor processes
  ☆34Updated 7 years ago
• MatthieuCourbariaux / AdversarialGradient
  A very simple variant of adversarial training that yields excellent results on MNIST
  ☆12Updated 9 years ago
• szagoruyko / openai-gemm.pytorch
  PyTorch bindings for openai-gemm
  ☆20Updated 8 years ago
• cornelltech / snack
  Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings
  ☆50Updated last year
• shraman-rc / vae
  Fun with variational autoencoders.
  ☆11Updated 7 years ago
• steerapi / seq2seq-show-att-tell
  Sequenced Show, Attend, and Tell: Natural Language from Natural Images
  ☆12Updated 9 years ago
• Nat-D / SVAE-Torch
  ☆11Updated 8 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆37Updated last year
• Avmb / lowrank-highwaynetwork
  Low-rank Highway Networks
  ☆13Updated 9 years ago
• IndicoDataSolutions / Foxhound
  Scikit learn inspired library for gpu-accelerated machine learning
  ☆38Updated 2 years ago
• imatge-upc / sentiment-2015-asm
  Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction
  ☆20Updated 7 years ago
• melgor / DRAW
  Torch implementation of DRAW: A Recurrent Neural Network For Image Generation, based on https://github.com/vivanov879/draw
  ☆22Updated 9 years ago
• shawntan / neural-transducers
  An attempt at implementing ideas in "Learning to Transduce with Unbounded Memory" (http://arxiv.org/abs/1506.02516)
  ☆11Updated 8 years ago
• preddy5 / Residual-Learning-and-Stochastic-Depth
  Implementation of Residual Learning with Stochastic Depth http://arxiv.org/pdf/1603.09382v2.pdf
  ☆10Updated 9 years ago
• npinto / asgd
  Averaged Stochastic Gradient Descent Classifiers
  ☆42Updated 12 years ago
• carpedm20 / RCMN
  Recurrent Convolutional Memory Network (in progress)
  ☆28Updated 9 years ago