autonomio / kerasplotlib
A visualization library for Keras deep learning
☆8Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for kerasplotlib
- Stats 479 Project☆22Updated 5 years ago
- AutoWeka for python☆11Updated 10 years ago
- A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.☆15Updated 7 years ago
- Yet another regression toolkit☆12Updated 11 years ago
- Experimental library for sampling and validating scikit-learn parameters☆10Updated 5 years ago
- Simulated Dual Annealing for python and benchmarks☆15Updated 5 years ago
- Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python☆23Updated 9 years ago
- Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.☆13Updated 3 years ago
- Capturing Structure Implicitly from Noisy Time-Series having Limited Data☆0Updated 6 years ago
- A consolidated package of small extensions to scikit-learn☆24Updated last year
- Book: Practical Probabilistic Machine Learning in Python☆10Updated 3 years ago
- The stand-alone training engine module for the ALOHA.eu project.☆15Updated 5 years ago
- Code accompanying the paper 'Manifold MCMC methods for Bayesian inference in a wide class of diffusion models'☆10Updated last year
- Transfer learning for flight-delay prediction via variational autoencoders in Keras☆33Updated 7 years ago
- Colab notebooks for d2l-book☆11Updated 4 years ago
- Implementation of Monte Carlo Word Movers Distance in Python with TensorFlow☆13Updated 8 years ago
- Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"☆13Updated 4 years ago
- Telegram-bot for NLP/RL courses☆12Updated 2 years ago
- Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792☆23Updated 7 years ago
- Python integration for Gradientzoo - version and share your trained neural network model weights☆12Updated 8 years ago
- An easy way to start a python programming environment using GitHub Codespaces.☆15Updated 4 years ago
- A thorough, straightforward, un-intimidating introduction to Gaussian processes in NumPy.☆16Updated 6 years ago
- Symbolic computation using SymPy and various applications☆20Updated 6 years ago
- Gaussian Process Regression for Python/Numpy☆14Updated 8 years ago
- A suite of tools for text preparation, vectorization and processing for deep learning with Keras.☆13Updated last year
- Introduction to structured prediction with Python and pystruct☆18Updated 6 years ago
- Visual Question Answering system's different implementations☆10Updated 7 years ago
- Deployment instructions to get a GPU VM for the Deep Learning class☆17Updated 6 years ago
- Flexible Reinforcement Learning Framework with PyTorch☆22Updated 4 years ago
- Distributed Bayesian Optimization☆23Updated 4 years ago