Implementation of various generative models
☆14Oct 1, 2018Updated 7 years ago
Alternatives and similar repositories for generative_models_pytorch
Users that are interested in generative_models_pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Black Box Variational Inference☆14May 22, 2015Updated 10 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆20Jan 11, 2019Updated 7 years ago
- ☆10Jun 17, 2022Updated 3 years ago
- 2D Navier-Stokes solver for the square cavity flow using a spectral collocation method☆11May 5, 2019Updated 6 years ago
- Prediction Intervals: Split Normal Mixture from Quality-Driven Deep Ensembles. Published at Uncertainty in AI (UAI) 2020.☆11Aug 31, 2020Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆30May 3, 2018Updated 7 years ago
- ☆13Jun 3, 2019Updated 6 years ago
- Fast object detector - Active Deformable Part Models☆11Feb 9, 2015Updated 11 years ago
- Machine learning-powered music generation. Full-featured tokenizer, customization options, and high-quality output files.☆15Feb 3, 2025Updated last year
- Matching Engine for Limit Order Book in Golang☆14Mar 14, 2019Updated 7 years ago
- Zheng Zhao's doctoral dissertation from Aalto University☆35Oct 10, 2022Updated 3 years ago
- The uncompromising Jupyter notebook formatter.☆14Jan 26, 2024Updated 2 years ago
- 1-step Q Learning from the paper "Asynchronous Methods for Deep Reinforcement Learning"☆12Mar 13, 2017Updated 9 years ago
- Python implementation of PCA on graph ECTD☆12May 29, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- ☆11Mar 12, 2019Updated 7 years ago
- Python package for inference with Gaussian processes☆11Mar 25, 2015Updated 11 years ago
- ☆30Oct 26, 2020Updated 5 years ago
- Pytorch implementation for image compression and reconstruction via autoencoder☆10Jun 17, 2020Updated 5 years ago
- Sharing Deep Learning Research Models with Lightning Part 1: Building A Super Resolution App☆16Jun 30, 2022Updated 3 years ago
- This is the code for the SF Python meetup group tutorial on reinforcement learning☆13Jun 1, 2017Updated 8 years ago
- Code for 'Inference Suboptimality in Variational Autoencoders'☆10May 22, 2020Updated 5 years ago
- Code for the NeurIPS 2019 paper: "Learning Dynamics of Attention: Human Prior for Interpretable Machine Reasoning"☆33Jun 27, 2023Updated 2 years ago
- ☆27Aug 27, 2025Updated 7 months ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Bayesian Graph Neural Networks☆12Sep 10, 2021Updated 4 years ago
- UAI paper 'Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions'☆11Jun 26, 2019Updated 6 years ago
- ☆13Sep 13, 2021Updated 4 years ago
- Command line wrapper to run `uv publish` using default credentials from `~/.pypirc`☆13Updated this week
- This repository provides a multi task benchmark for instance segmentation, depth estimation, and 3D object detection.☆14Jul 29, 2023Updated 2 years ago
- ☆11Jan 5, 2022Updated 4 years ago
- ☆12Jun 5, 2015Updated 10 years ago
- Gaussian Process Regression for training data with noisy inputs and/or outputs☆10Mar 22, 2017Updated 9 years ago
- Bayesian Deep Learning with Edward (and a trick using Dropout)☆15Jun 7, 2017Updated 8 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- OpenAI Request for Research - https://blog.openai.com/requests-for-research-2/☆14Mar 4, 2018Updated 8 years ago
- MCMC Metropolis Hastings and Bayesian Regression from Scratch☆14Dec 28, 2023Updated 2 years ago
- ☆16Oct 29, 2019Updated 6 years ago
- MCMC routines☆12Nov 22, 2022Updated 3 years ago
- Multi-Objective Causal Bayesian Optimisation, a new paradigm for finding Pareto-optimal interventions in multi-outcome causal models☆16Jun 2, 2025Updated 10 months ago
- A very naive and simple benchmark between dlib and pytorch in terms of space and time☆19May 13, 2020Updated 5 years ago
- Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".☆12Oct 1, 2017Updated 8 years ago