tensorflow / latticeLinks
Lattice methods in TensorFlow
☆520Updated 11 months ago
Alternatives and similar repositories for lattice
Users that are interested in lattice are comparing it to the libraries listed below
Sorting:
- Tuning hyperparams fast with Hyperband☆594Updated 6 years ago
- Input pipeline framework☆985Updated last week
- Model analysis tools for TensorFlow☆1,268Updated this week
- Testing framework to simplify writing ML unit tests.☆347Updated 5 years ago
- A TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains.☆462Updated 6 years ago
- TensorFlow framework for training and serving machine learning models☆195Updated 8 years ago
- This repository contains all the material for the MLTrain NIPS workshop☆244Updated 7 years ago
- Studio: Simplify and expedite model building process☆382Updated last year
- Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.☆623Updated 6 years ago
- Nested LSTM Cell☆251Updated 7 years ago
- ☆135Updated 5 years ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆513Updated 11 years ago
- LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.☆531Updated 7 years ago
- RoBO: a Robust Bayesian Optimization framework☆485Updated 6 years ago
- Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).☆531Updated 5 years ago
- Artemis aims to get rid of all the boring, bureaucratic coding (plotting, file management, organizing experiments, etc) involved in machi…☆238Updated last year
- Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!☆279Updated 2 years ago
- Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.☆484Updated 3 years ago
- ☆232Updated 3 years ago
- [DEPRECATED] Amazon Deep Learning's Keras with Apache MXNet support☆289Updated 2 years ago
- Multi-core implementation of Regularized Greedy Forest☆465Updated 7 years ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,392Updated 7 years ago
- Exploring differentiation with respect to hyperparameters☆296Updated 9 years ago
- Python wrappers for torch and lua☆445Updated 8 years ago
- A Tiny, Pure Python implementation of Gradient Boosted Trees.☆255Updated 4 years ago
- Experimental Global Optimization Algorithm☆483Updated 7 years ago
- Stuff I uploaded to share online or to access from a different machine☆174Updated 2 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of s…☆220Updated 8 years ago
- Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one…☆381Updated 3 years ago