EOgmaNeo
Hierarchical predictor
A C++ library implementing an online learning algorithm for sparse predictive hierarchies in neural networks.
Ogma - EOgmaNeo https://ogma.ai/
111 stars
15 watching
20 forks
Language: C++
last commit: over 5 years ago
Linked from 1 awesome list
eogmaneoneural-networkogma
caerind/awesomecppgamedevRelated projects:
| Repository | Description | Stars |
|---|---|---|
 envirometrix/landmap | Develops methods for automated spatial prediction and interpolation using Ensemble Machine Learning. | 48 |
 agrimgupta92/sgan | An implementation of a Generative Adversarial Network for predicting human trajectories in social scenarios. | 835 |
 microprediction/timemachines | Provides a simple and unified interface to various univariate time-series prediction algorithms | 413 |
 navdeep-g/h2o3-pam | An implementation of the PAM algorithm in H2O-3 for clustering data. | 1 |
 rezahsnz/mlg | A decentralized CNN classification service that distributes pre-trained models across a network of provider nodes and collects predictions in real-time. | 2 |
 mims-harvard/ohmnet | An algorithm for learning feature representations in multi-layer networks | 81 |
 perrygeo/pyimpute | A Python module providing high-level functions to facilitate supervised classification and regression on geospatial data using scikit-learn and rasterio. | 125 |
 oval-group/mlogger | A lightweight logger for machine learning experiments | 127 |
 grootzz/ga-bp | An optimization framework using genetic algorithms to train and improve the performance of Backpropagation Neural Networks for traffic flow prediction | 157 |
 prideout/heman | A C library providing utilities for 3D image processing and rendering | 470 |
 billdthompson/cogsci-auto-norm | Automatically generates concreteness estimates for languages using pre-trained semantic models and linear regression | 0 |
 gigasquid/k9 | A Clojure library for constructing and training simple neural networks using core.matrix | 104 |
 hyperopt/hyperopt-sklearn | Automates search for optimal parameters in machine learning algorithms. | 1,594 |
 songtianyi/go-mxnet-predictor | A Go library providing a direct interface to MXNet's C API for deep learning inference | 55 |
 imatge-upc/saliency-2016-cvpr | This project proposes a solution to predict salient areas in images using convolutional neural networks. | 186 |