HLearn-algebra (deprecated in favor of subhask) | 70 | 0.0 | Algebraic foundation for homomorphic learning | (bsd3, data-mining, deprecated, library, machine-learning) | 2014-05-30 | MikeIzbicki |

HLearn-approximation (deprecated) | 14 | 0.0 | | (bsd3, data-mining, data-structures, deprecated, library, machine-learning) | 2013-07-30 | MikeIzbicki |

HLearn-classification (deprecated) | 24 | 0.0 | | (bsd3, data-mining, deprecated, library, machine-learning) | 2014-06-04 | MikeIzbicki |

HLearn-datastructures (deprecated) | 9 | 0.0 | | (bsd3, data-mining, data-structures, deprecated, library, machine-learning) | 2013-07-27 | MikeIzbicki |

HLearn-distributions (deprecated) | 69 | 0.0 | Distributions for use with the HLearn library | (bsd3, data-mining, deprecated, library, machine-learning, statistics) | 2014-03-27 | MikeIzbicki |

HMM | 4 | 0.0 | A hidden markov model library | (algorithms, bsd3, data-mining, library, machine-learning) | 2012-03-25 | MikeIzbicki |

KdTree | 31 | 0.0 | KdTree, for efficient search in K-dimensional point clouds. | (bsd3, data-mining, data-structures, graphics, library, machine-learning) | 2017-09-29 | IssacTrotts, jessekempf |

LambdaNet | 15 | 2.0 | A configurable and extensible neural network library | (library, machine-learning, mit) | 2015-01-02 | jbarrow |

Learning | 23 | 0.0 | The most frequently used machine learning tools | (bsd3, library, machine-learning, program) | 2018-02-26 | penkovsky |

ad-delcont | 11 | 2.25 | Reverse-mode automatic differentiation with delimited continuations | (bsd3, library, machine-learning, math, numeric, optimisation, optimization) | 2021-07-20 | ocramz |

affine-invariant-ensemble-mcmc (deprecated in favor of flat-mcmc) | 5 | 0.0 | General-purpose sampling | (bsd3, deprecated, library, machine-learning, numerical, statistics) | 2012-09-26 | JaredTobin |

datasets | 103 | 2.0 | Classical data sets for statistics and machine learning | (data, data-mining, library, machine-learning, mit, statistics) | 2019-02-12 | glutamate, ocramz, stites |

dtw | 19 | 0.0 | (Fast) Dynamic Time Warping | (algorithms, data-mining, library, machine-learning, mit) | 2016-07-21 | fho |

fei-base | 13 | 0.0 | FFI to MXNet | (ai, bsd3, library, machine-learning, program) | 2020-12-20 | JiasenWu |

fei-cocoapi | 7 | 0.0 | Cocodataset with cocoapi | (ai, bsd3, library, machine-learning, program) | 2020-12-20 | JiasenWu |

fei-dataiter (deprecated in favor of fei-nn) | 6 | 0.0 | mxnet dataiters | (ai, bsd3, deprecated, library, machine-learning, program) | 2019-09-17 | JiasenWu |

fei-datasets | 5 | 0.0 | Some datasets | (ai, bsd3, library, machine-learning, program) | 2020-12-20 | JiasenWu |

fei-examples | 6 | 0.0 | fei examples | (ai, bsd3, machine-learning, program) | 2020-12-20 | JiasenWu |

fei-modelzoo | 7 | 0.0 | A collection of standard models | (ai, bsd3, library, machine-learning) | 2020-12-20 | JiasenWu |

fei-nn | 13 | 0.0 | Train a neural network with MXNet in Haskell. | (ai, bsd3, library, machine-learning) | 2020-12-20 | JiasenWu |

genetics | 10 | 0.0 | A Genetic Algorithm library | (bsd3, machine-learning, program) | 2013-06-13 | AndrewPennebaker |

grenade | 10 | 2.0 | Practical Deep Learning in Haskell | (ai, bsd2, library, machine-learning) | 2017-04-12 | ErikDeCastroLopo, huw |

haskell-ml | 11 | 0.0 | Machine learning in Haskell | (bsd3, library, machine-learning, program) | 2018-01-28 | DavidBanas |

hasktorch | 7 | 0.0 | Torch for tensors and neural networks in Haskell | (ai, bsd3, library, machine-learning, program, tensors) | 2018-11-02 | junjihashimoto, stites, tscholak, austinvhuang |

hasktorch-codegen | 12 | 0.0 | Code generation tools for Hasktorch | (ai, bsd3, code-generation, ffi-tools, library, machine-learning, program, tensors) | 2018-11-01 | stites |

hasktorch-ffi-tests | 3 | 0.0 | Testing library for Hasktorch's FFI bindings | (ai, bsd3, ffi, library, machine-learning, tensors) | 2018-11-01 | stites |

hasktorch-ffi-th | 4 | 0.0 | Bindings to Torch | (ai, bsd3, ffi, library, machine-learning, tensors) | 2018-11-01 | stites |

hasktorch-ffi-thc | 8 | 0.0 | Bindings to Cutorch | (ai, bsd3, ffi, library, machine-learning, tensors) | 2018-11-01 | stites |

hasktorch-indef | 8 | 0.0 | Core Hasktorch abstractions wrapping FFI bindings | (ai, bsd3, library, machine-learning, tensors) | 2018-11-02 | stites |

hasktorch-signatures | 6 | 0.0 | Backpack signatures for Tensor operations | (ai, bsd3, library, machine-learning, program, tensors) | 2018-11-01 | stites |

hasktorch-signatures-partial | 3 | 0.0 | Functions to partially satisfy tensor signatures | (ai, bsd3, library, machine-learning, tensors) | 2018-11-01 | stites |

hasktorch-signatures-support | 6 | 0.0 | Signatures for support tensors in hasktorch | (ai, bsd3, library, machine-learning, tensors) | 2018-11-01 | stites |

hasktorch-signatures-types | 5 | 0.0 | Core types for Hasktorch backpack signatures | (ai, bsd3, library, machine-learning, tensors) | 2018-11-01 | stites |

hasktorch-types-th | 8 | 0.0 | C-types for Torch | (ai, bsd3, ffi, library, machine-learning, tensors) | 2018-11-01 | stites |

hasktorch-types-thc | 9 | 0.0 | C-types for Cutorch | (ai, bsd3, ffi, library, machine-learning, tensors) | 2018-11-01 | stites |

hasktorch-zoo | 7 | 0.0 | Neural architectures in hasktorch | (ai, bsd3, library, machine-learning, tensors) | 2018-11-02 | stites |

hmm | 12 | 0.0 | A hidden markov model library | (algorithms, bsd3, data-mining, library, machine-learning) | 2012-03-26 | MaxRabkin, MikeIzbicki |

hopfield | 16 | 0.0 | Hopfield Networks, Boltzmann Machines and Clusters | (ai, library, machine-learning, mit, program) | 2014-04-09 | NiklasHambuechen |

htvm | 6 | 0.0 | Bindings for TVM machine learning framework | (gpl, library, machine-learning) | 2018-12-15 | SergeyMironov |

learning-hmm | 36 | 0.0 | Yet another library for hidden Markov models | (algorithms, library, machine-learning, mit, statistics) | 2015-04-05 | mnacamura |

mcmc-samplers | 10 | 2.0 | Combinators for MCMC sampling | (bsd3, library, machine-learning, math, numeric, statistics) | 2014-11-10 | pravnar, z |

menoh | 17 | 0.0 | Haskell binding for Menoh DNN inference library | (deep-learning, library, machine-learning, mit) | 2018-11-08 | MasahiroSakai |

mnist-idx-conduit | 20 | 2.0 | conduit utilities for MNIST IDX files | (bsd3, data, data-mining, data-science, library, machine-learning) | 2021-05-14 | ocramz |

multilinear | 44 | 1.5 | Comprehensive and efficient (multi)linear algebra implementation. | (bsd3, library, machine-learning) | 2018-11-25 | ArturB |

multilinear-io | 20 | 1.75 | Conduit-based input/output capability for multilinear package. | (bsd3, library, machine-learning) | 2018-11-25 | ArturB |

mxnet | 11 | 0.0 | MXNet interface in Haskell. | (library, machine-learning, mit) | 2017-10-22 | sighingnow |

mxnet-dataiter (deprecated in favor of fei-dataiter) | 3 | 0.0 | mxnet dataiters | (ai, bsd3, deprecated, library, machine-learning) | 2018-05-03 | JiasenWu |

mxnet-examples | 8 | 0.0 | Examples for MXNet in Haskell. | (machine-learning, mit, program) | 2017-10-22 | sighingnow |

mxnet-nn (deprecated in favor of fei-nn) | 19 | 0.0 | Train a neural network with MXNet in Haskell. | (ai, bsd3, deprecated, library, machine-learning, program) | 2018-05-03 | JiasenWu |

mxnet-nnvm (deprecated in favor of mxnet) | 7 | 0.0 | NNVM interface in Haskell. | (deprecated, library, machine-learning, mit) | 2017-02-10 | sighingnow |

neural | 23 | 2.0 | Neural Networks in native Haskell | (library, machine-learning, mit, program) | 2017-07-27 | lbrunjes |

ngram | 11 | 0.0 | Ngram models for compressing and classifying text. | (bsd3, library, machine-learning, natural-language-processing, program) | 2018-11-13 | TomLippincott |

perceptron | 12 | 0.0 | The perceptron learning algorithm. | (bsd3, library, machine-learning) | 2014-04-23 | StefanHoldermans |

rc | 5 | 0.0 | Reservoir Computing, fast RNNs | (bsd3, library, machine-learning, program) | 2018-07-08 | penkovsky |

record-encode (deprecated in favor of heidi) | 21 | 0.0 | Generic encoding of records | (bsd3, data, data-mining, data-science, deprecated, library, machine-learning) | 2019-01-23 | ocramz |

rl-satton | 19 | 0.0 | Collection of Reinforcement Learning algorithms | (bsd3, library, machine-learning, program) | 2016-10-04 | SergeyMironov |

rp-tree | 37 | 2.0 | Random projection trees | (bsd3, data, data-mining, data-structures, library, machine-learning, program) | 2021-06-12 | ocramz |

sibe | 28 | 0.0 | Machine Learning algorithms | (data-science, gpl, library, machine-learning, program, web) | 2017-05-25 | mdibaiee |

tensorflow | 26 | 0.0 | TensorFlow bindings. | (library, machine-learning) | 2019-09-08 | JudahJacobson, gnezdo, fmayle |

tensorflow-core-ops | 14 | 0.0 | Haskell wrappers for Core Tensorflow Ops. | (library, machine-learning) | 2019-09-08 | JudahJacobson, gnezdo, fmayle |

tensorflow-logging | 13 | 0.0 | TensorBoard related functionality. | (library, machine-learning) | 2019-09-08 | JudahJacobson, gnezdo, fmayle |

tensorflow-mnist | 6 | 0.0 | TensorFlow demo application for learning MNIST model. | (library, machine-learning, program) | 2018-08-03 | fmayle |

tensorflow-opgen | 12 | 0.0 | Code generation for TensorFlow operations. | (library, machine-learning) | 2019-09-08 | JudahJacobson, gnezdo, fmayle |

tensorflow-ops | 16 | 0.0 | Friendly layer around TensorFlow bindings. | (library, machine-learning) | 2019-09-08 | JudahJacobson, gnezdo, fmayle |

tensorflow-proto | 21 | 0.0 | TensorFlow protocol buffers. | (library, machine-learning) | 2019-09-08 | JudahJacobson, gnezdo, fmayle |

tensorflow-records | 10 | 0.0 | Encoder and decoder for the TensorFlow \"TFRecords\" format. | (library, machine-learning) | 2017-05-10 | JudahJacobson, gnezdo, fmayle |

tensorflow-records-conduit | 9 | 0.0 | Conduit wrappers for TensorFlow.Records. | (library, machine-learning) | 2017-05-10 | JudahJacobson, gnezdo, fmayle |

tensorflow-test | 8 | 0.0 | Some common functions for test suites. | (library, machine-learning) | 2017-05-10 | JudahJacobson, gnezdo, fmayle |

vp-tree | 4 | 0.0 | Vantage Point Trees | (bsd3, data, data-mining, data-structures, library, machine-learning) | 2021-04-30 | ocramz |