maxpumperla / neuralforecast

Related projects: ⓘ

• nmayorov / ufcnn
  Implementation of Undecimated Fully Convolutional Neural Network for time series modeling
  ☆40Updated 8 years ago
• abhishekkrthakur / automl_gpu
  ☆26Updated 8 years ago
• cbonnett / MDN_Edward_Keras_TF
  ☆13Updated 8 years ago
• KirkHadley / SectorRotation
  RF + GBM + ARIMA/NN Hybrid ensemble for predicting 6-month returns for the 9 sector ETFs plus IYZ
  ☆23Updated 10 years ago
• hyperopt / hyperopt-nnet
  Hyperparameter optimization for neural networks
  ☆46Updated 10 years ago
• dhrushilbadani / deeplearning-timeseries
  Timeseries Forecasting via Recurrent Neural Nets [Keras + Theano]
  ☆34Updated 8 years ago
• harvitronix / super-simple-distributed-keras
  A super simple way to do distributed hyperparameter tuning with Keras and Mongo
  ☆30Updated 7 years ago
• jperl / stock2vec
  📈 Stock embeddings based on PE context
  ☆72Updated 7 years ago
• zygmuntz / Python-ELM
  Extreme Learning Machine implementation in Python
  ☆44Updated 10 years ago
• TimDettmers / deepnet
  Deep neural network implemented with gnumpy/cudamat
  ☆16Updated 10 years ago
• msegala / Kaggle-National_Data_Science_Bowl
  ☆15Updated 8 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 5 years ago
• kevinzakka / paper-implementations
  ☆12Updated this week
• deepsense-ai / neptune-examples
  ☆36Updated this week
• EvoML / EvoML
  Using Genetic Algorithms to aid Machine Learning
  ☆18Updated 6 years ago
• zygmuntz / kaggle-burn-cpu
  Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.
  ☆33Updated 10 years ago
• IndicoDataSolutions / Foxhound
  Scikit learn inspired library for gpu-accelerated machine learning
  ☆38Updated last year
• automl / pysmac
  simple python interface to SMAC.
  ☆21Updated 6 years ago
• zygmuntz / kaggle-cifar
  Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet
  ☆44Updated 10 years ago
• bpjsincl / coursera-neural-net
  Assignments for Geoffrey Hinton's Neural Net Course on Coursera, translated from (gross)Matlab into (beautiful)Python.
  ☆42Updated 8 years ago
• arayabrain / RecurrentAutoencoder
  Sample code for generative recurrent autoencoders.
  ☆25Updated 7 years ago
• cbonnett / blog
  ☆9Updated 8 years ago
• paulbertens / rank-ordered-autoencoder
  Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749
  ☆33Updated 8 years ago
• EderSantana / X
  X is a temporary name, but here lies RL
  ☆40Updated 7 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆27Updated 8 years ago
• jrieke / timeseries-rnn
  ⏱️ char-rnn for time series data
  ☆13Updated 8 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 5 years ago
• abhishekmalali / TimeFlow
  Tensorflow for Time Series Applications
  ☆68Updated 6 years ago
• stitchfix / NTFLib
  Sparse Beta-Divergence Tensor Factorization Library
  ☆47Updated 8 years ago
• jonathanstrong / tmetrics
  A collections of metrics and loss functions written in Theano.
  ☆14Updated 8 years ago