EderSantana / Awesome-Distributed-ML
Awesome Distributed Machine Learning Frameworks
☆31Updated 7 years ago
Alternatives and similar repositories for Awesome-Distributed-ML:
Users that are interested in Awesome-Distributed-ML are comparing it to the libraries listed below
- ☆15Updated 6 years ago
- Predicting sales with Pandas☆15Updated 9 years ago
- ☆14Updated 8 years ago
- ☆25Updated 8 years ago
- Document or binary file vectorization with Normalized Compression Distance in Python.☆17Updated 9 years ago
- Vector-free L-BFGS implementation on Spark☆9Updated 9 years ago
- kdd2014PrizeWinner☆13Updated 10 years ago
- KDD Hands-On Tutorial (2018)☆29Updated 2 years ago
- Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit☆24Updated 10 years ago
- A talk on TensorFlow debugging -- REPOSITORY MOVED TO:☆8Updated 8 years ago
- ☆16Updated 7 years ago
- A super simple way to do distributed hyperparameter tuning with Keras and Mongo☆30Updated 7 years ago
- GSOC 2017 - Apache Organization - # Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python…☆14Updated 7 years ago
- Datasets and notebooks☆13Updated 8 years ago
- Hyperparameter optimization for neural networks☆47Updated 11 years ago
- Various notebooks and tutorials on subjects of interest.☆36Updated 4 years ago
- Kaggle competition results☆20Updated 6 years ago
- Proximal Asynchronous SAGA☆12Updated 7 years ago
- Simple and easy-to-understand ml algorithm implementations☆19Updated 7 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 4 years ago
- Tensor-based Spectral LDA on Spark☆18Updated 6 years ago
- RF + GBM + ARIMA/NN Hybrid ensemble for predicting 6-month returns for the 9 sector ETFs plus IYZ☆24Updated 10 years ago
- MXNet Model Serving☆25Updated 7 years ago
- Implementing Like2Vec (Word2Vec for users or items) using TensorFlow☆19Updated 8 years ago
- Online feature-extraction and classification algorithm that learns representations of input patterns.☆31Updated 8 years ago
- A set of methods that predict the future values of popularity indices for news posts using a variety of features.☆33Updated 7 years ago
- Serving PyTorch Models on AWS Lambda with Caffe2 & ONNX☆47Updated 7 years ago
- Mxnet-cnn-samples☆30Updated 7 years ago
- The top 10 solution to the "Growing Instability: Classifying Crisis Reports" challenge☆21Updated 7 years ago
- Time Series Prediction: A Non Linear Approach with Neural Networks☆34Updated 8 years ago