yuma-m / matplotlib-draggable-plotLinks
An example of draggable plot for matplotlib
☆42Updated 6 years ago
Alternatives and similar repositories for matplotlib-draggable-plot
Users that are interested in matplotlib-draggable-plot are comparing it to the libraries listed below
Sorting:
- Chainer/PyTorch Migration Library☆45Updated 5 years ago
- Example python package with pybind11 cpp extension☆57Updated 4 years ago
- The differentiable OSQP solver layer for PyTorch☆63Updated 2 years ago
- ☆26Updated 6 years ago
- L4: Practical loss-based stepsize adaptation for PyTorch☆18Updated 4 years ago
- PFN Picking Instructions for Commodities Dataset (PFN-PIC) including images, bounding boxes and text instructions.☆31Updated 2 years ago
- pytest plugin for a better developer experience when working with the PyTorch test suite☆44Updated 3 years ago
- PyProf2: PyTorch Profiling tool☆82Updated 5 years ago
- AutoInit: Analytic Signal-Preserving Weight Initialization for Neural Networks☆29Updated 2 years ago
- Jupyter notebooks for Chainer hands-on☆24Updated 7 years ago
- ☆15Updated 3 years ago
- This tool dumps images in tensorboard☆17Updated 5 years ago
- Estimate theoretical computational cost of a chainer-based neural network☆50Updated 5 years ago
- a lightweight transformer library for PyTorch☆72Updated 3 years ago
- Imshow - Flexible and Customizable Image Display with Python☆13Updated last year
- Parameterized fit and prediction harnesses for pytorch☆40Updated 4 years ago
- 3D learning environment with rigid body simulation for Linux/MacOSX☆14Updated 3 years ago
- A Chainer implementation of WGAN-GP.☆12Updated 7 years ago
- Ἀνατομή is a PyTorch library to analyze representation of neural networks☆65Updated 3 months ago
- Simple and extensible hypergradient for PyTorch☆18Updated 2 years ago
- A lightweight library for tensorflow 2.0☆66Updated 5 years ago
- ☆54Updated 2 years ago
- Source code for ICLR 2020 paper: "Learning to Guide Random Search"☆40Updated last year
- A disciplined approach to neural network parameters - Reviewing the approach for setting Hyper parameters by Leslie Smith☆12Updated 7 years ago
- Whisper of the arxiv: read comments in tex of papers☆32Updated 7 years ago
- Texture mapping with variational auto-encoders☆40Updated 3 years ago
- A selection of neural network models ported from torchvision for JAX & Flax.☆44Updated 2 months ago
- Statistical adaptive stochastic optimization methods☆32Updated 5 years ago
- ☆20Updated 8 years ago
- A PyTorch implementation of visual interaction networks☆13Updated 6 years ago