tensorflow / latticeLinks
Lattice methods in TensorFlow
☆519Updated last year
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☆595Updated 7 years ago
- Input pipeline framework☆987Updated 2 months ago
- Model analysis tools for TensorFlow☆1,267Updated 2 months ago
- A TensorBoard plugin for visualizing arbitrary tensors in a video as your network trains.☆462Updated 6 years ago
- ☆135Updated 6 years ago
- Studio: Simplify and expedite model building process☆380Updated last year
- Testing framework to simplify writing ML unit tests.☆346Updated 6 years ago
- TensorFlow framework for training and serving machine learning models☆194Updated 8 years ago
- Distributed Deep Learning, with a focus on distributed training, using Keras and Apache Spark.☆623Updated 7 years ago
- Artemis aims to get rid of all the boring, bureaucratic coding (plotting, file management, organizing experiments, etc) involved in machi…☆239Updated last year
- This repository contains all the material for the MLTrain NIPS workshop☆244Updated 7 years ago
- Nested LSTM Cell☆251Updated 7 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- optimization routines for hyperparameter tuning☆423Updated last year
- RoBO: a Robust Bayesian Optimization framework☆490Updated 6 years ago
- Exploring differentiation with respect to hyperparameters☆295Updated 9 years ago
- auto-tuning momentum SGD optimizer☆424Updated 7 years ago
- Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.☆484Updated 3 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆380Updated 8 years ago
- Official Python SDK for Hyperdash☆201Updated 4 years ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,395Updated 8 years ago
- Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.☆265Updated 6 years ago
- Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!☆280Updated 2 years ago
- LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.☆529Updated 7 years ago
- Simplify the training and tuning of Tensorflow models☆214Updated 3 years ago
- Experimental Global Optimization Algorithm☆483Updated 7 years ago
- Distributed Asynchronous Hyperparameter Optimization in Python☆514Updated 11 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆183Updated 7 years ago
- Multi-core implementation of Regularized Greedy Forest☆466Updated 7 years ago
- Adaptive Computation Time algorithm in Tensorflow☆259Updated 8 years ago