cheind / tf-matplotlib
Seamlessly integrate matplotlib figures as tensorflow summaries.
β120Updated 6 years ago
Alternatives and similar repositories for tf-matplotlib:
Users that are interested in tf-matplotlib are comparing it to the libraries listed below
- a lightweight and simple logger for Machine Learningβ127Updated 4 years ago
- π TensorFlow + Matplotlib as TF opsβ299Updated 5 years ago
- A utility library around PyTorchβ244Updated 2 years ago
- Dashboard for sacred. Monitor and access your past machine learning experiments.β183Updated 6 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.β102Updated 5 years ago
- Basic experiment framework for tensorflow.β92Updated 3 years ago
- A set of simple examples ported from PyTorch for Tensorflow Eager Executionβ73Updated 6 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"β125Updated 6 years ago
- Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.β106Updated 2 years ago
- β219Updated 6 years ago
- Differentiable bitonic sortingβ139Updated 4 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"β245Updated 6 years ago
- ICLR Reproducibility Challenge 2019β219Updated 5 years ago
- Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training oβ¦β149Updated 7 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young lossesβ184Updated last year
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.β68Updated 6 years ago
- Decoupled Neural Interfaces using Synthetic Gradients for PyTorchβ237Updated 6 years ago
- Forward-mode Automatic Differentiation for TensorFlowβ139Updated 7 years ago
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networksβ87Updated 5 years ago
- Example code for Weight Normalization, from "Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Netwβ¦β364Updated 6 years ago
- Videos of deep learning optimizers moving on 3D problem-landscapesβ108Updated 8 months ago
- Export TensorFlow logs to common easy to read formats (csv-files, png-images, ...)β28Updated 6 years ago
- Plot TensorBoard graphs fastβ51Updated 3 years ago
- Interactively retrieve data from sacred experiments.β82Updated last month
- Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)β125Updated 7 years ago
- Implements pytorch code for the Accelerated SGD algorithm.β215Updated 7 years ago
- PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.β219Updated last year
- Equi-normalization of Neural Networksβ115Updated 5 years ago
- PyTorch code for the "Deep Neural Networks with Box Convolutions" paperβ510Updated 5 years ago
- PyTorch functions and utilities to make your life easierβ195Updated 4 years ago