tanyaschlusser / array2gif
Provides a function to write a NumPy array to a GIF, or a list of arrays to an animated GIF.
☆58Updated 6 years ago
Alternatives and similar repositories for array2gif
Users that are interested in array2gif are comparing it to the libraries listed below
Sorting:
- Research code need not be ugly.☆77Updated last year
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆59Updated 5 years ago
- Interactively retrieve data from sacred experiments.☆82Updated last week
- Keras for Science☆72Updated 6 years ago
- A Python package for simulating recurrent, biologically-realistic neural networks☆13Updated 6 years ago
- An extension to Sacred for automated hyperparameter optimization.☆59Updated 7 years ago
- Small Python library to automatically set CUDA_VISIBLE_DEVICES to the least loaded device on multi-GPU systems.☆106Updated 2 years ago
- Clustering with Gaussian Process Models☆19Updated 6 years ago
- Implementation and demonstration of backdrop in pytorch. Code and demonstration of GP dataset generator.☆68Updated 6 years ago
- Seamlessly integrate matplotlib figures as tensorflow summaries.☆120Updated 6 years ago
- Odds and Ends and Things I've implemented.☆78Updated 6 years ago
- ☆45Updated 5 years ago
- Python bindings for pyNVML and psutil library over network☆51Updated last year
- Plot TensorBoard graphs fast☆51Updated 3 years ago
- Implementation of "GANs for Biological Image Synthesis"☆95Updated 7 years ago
- Here I will share the code from the lectures of the course: Generative Image Modelling with Deep Neural Networks taught in the Summer Ter…☆27Updated 7 years ago
- ☆29Updated 5 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- Pure Python dashboard for monitoring deep learning experiments (like TensorBoard for PyTorch/JAX/etc, without a browser)☆95Updated 3 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 4 years ago
- Practice with MCMC methods and dynamics (Langevin, Hamiltonian, etc.)☆42Updated 5 years ago
- Code for NeurIPS 2019 paper: "Symmetry-Based Disentangled Representation Learning requires Interaction with Environments" by H. Caselles-…☆35Updated 5 years ago
- Some examples trained on very reduced versions of the MNIST training set☆47Updated 7 years ago
- This code accompanies the proximity variational inference paper.☆18Updated 6 years ago
- Automatic differentiation + optimization☆103Updated 6 years ago
- A visualization library for PyTorch tensors☆19Updated 2 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Proximal Backpropagation - a neural network training algorithm that takes implicit instead of explicit gradient steps☆42Updated 6 years ago
- A utility library around PyTorch☆244Updated 2 years ago
- 2019 talk at GECCO☆68Updated 5 years ago