neurolaboratories / detectron2Links
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
☆10Updated 5 years ago
Alternatives and similar repositories for detectron2
Users that are interested in detectron2 are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation☆469Updated 6 years ago
- This repository holds some of the notebooks I use to study some data for the CMU Data Science Club.☆11Updated 8 years ago
- Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch☆362Updated 6 years ago
- Building a Bayesian deep learning classifier☆493Updated 8 years ago
- Replicating "Understanding disentangling in β-VAE"☆200Updated 7 years ago
- Bayesian Deep Learning Benchmarks☆671Updated 2 years ago
- code for Structured Variational Autoencoders☆351Updated 7 years ago
- Implementations of various VAE-based semi-supervised and generative models in PyTorch☆710Updated 5 years ago
- Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"☆581Updated 3 years ago
- Probabilistic Torch is library for deep generative models that extends PyTorch☆894Updated last year
- Code for reproducing results of NIPS 2014 paper "Semi-Supervised Learning with Deep Generative Models"☆516Updated 11 years ago
- Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"☆460Updated 6 years ago
- Code for the paper "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks"☆380Updated 9 years ago
- Wasserstein Auto-Encoders☆507Updated 7 years ago
- A list of resources used in Applied Data Science☆15Updated 5 years ago
- This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural P…☆1,015Updated 5 years ago
- Pytorch implementation of Hyperspherical Variational Auto-Encoders☆385Updated 5 years ago
- t-SNE experiments in pytorch☆481Updated 3 years ago
- A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)☆357Updated 8 years ago
- code for "Isolating Sources of Disentanglement in Variational Autoencoders".☆352Updated 3 years ago
- Tensorflow implementation of Hyperspherical Variational Auto-Encoders☆236Updated 7 years ago
- Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization☆2,177Updated 3 years ago
- Unsupervised clustering with (Gaussian mixture) VAEs☆301Updated 9 years ago
- Parallel t-SNE implementation with Python and Torch wrappers.☆1,917Updated 2 years ago
- Torch implementations of various types of autoencoders☆476Updated 8 years ago
- A simple implementation of support vector clustering in only python/numpy☆13Updated 2 years ago
- Implementation of a Variational Auto-Encoder in Theano☆381Updated 8 years ago
- Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimizati…☆1,394Updated 8 years ago
- ☆110Updated 8 years ago
- Invariant Information Clustering for Unsupervised Image Classification and Segmentation☆895Updated 5 years ago