PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.
☆19Jan 22, 2024Updated 2 years ago
Alternatives and similar repositories for torch-reparametrised-mixture-distribution
Users that are interested in torch-reparametrised-mixture-distribution are comparing it to the libraries listed below
Sorting:
- Official Implementation of Paper "Learning to Jump: Thinning and Thickening Latent Counts for Generative Modeling" (ICML 2023)☆10Jun 6, 2023Updated 2 years ago
- This repository contains recent background materials, current works, and codes for researching in TPP.☆16Sep 22, 2023Updated 2 years ago
- Classic environments for reinforcement learning and dynamic programming, implemented in OpenAI Gym and Gymnasium.☆21May 2, 2023Updated 2 years ago
- Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variab…☆27May 3, 2021Updated 4 years ago
- Pytorch implementation of neural processes and variants☆30Jul 25, 2024Updated last year
- Official Code for Neural Systematic Binder☆34Mar 27, 2023Updated 2 years ago
- Official implementation of Transformer Neural Processes☆82Aug 21, 2022Updated 3 years ago
- Matlab toolbox to compute the statistics, pdf, cdf, inverse cdf and random numbers of the generalized chi-square distribution.☆12Updated this week
- HANA XS Advanced Python Buildpack and example multi-target-application (This Repository has been archived upon Members choice)☆10Feb 19, 2020Updated 6 years ago
- Official implementation of "Learning Proposals for Practical Energy-Based Regression", AISTATS 2022.☆13Feb 4, 2023Updated 3 years ago
- implementing Weight Agnostic Neural Networks to Spiking Neural Networks☆10Jan 26, 2021Updated 5 years ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆12May 8, 2023Updated 2 years ago
- ☆10Nov 3, 2023Updated 2 years ago
- A simple Python library for compartment models☆11Aug 23, 2021Updated 4 years ago
- Unsupervised Cross-lingual Sentiment Analysis (CoNLL 2019)☆10Nov 4, 2019Updated 6 years ago
- Unofficial implementation of paper : Exploring the Space of Key-Value-Query Models with Intention☆12May 24, 2023Updated 2 years ago
- ☆10May 20, 2019Updated 6 years ago
- A creative coding environment where Claude can express itself through generative art using p5.js. See tweet thread for examples: https://…☆13Feb 3, 2026Updated last month
- A simple library-less CUDA implementation of the OneSweep sorting algorithm.☆11Feb 26, 2024Updated 2 years ago
- Slop Scoring to Stop Slop☆48Updated this week
- Distributed Tensorflow Implementation of Asynchronous DDPG☆12Oct 25, 2017Updated 8 years ago
- 🦌 Deep Retention, Winner @ Calhacks ✨🌠☆10Oct 26, 2024Updated last year
- Code for the ICLR 2024 paper "How Realistic Is Your Synthetic Data? Constraining Deep Generative Models for Tabular Data"☆18Apr 15, 2025Updated 10 months ago
- Display tensors directly from GPU☆11Oct 12, 2025Updated 4 months ago
- Replication code for Continuous Diffusion for Mixed-Type Tabular Data [ICLR 2025]☆12Aug 12, 2025Updated 6 months ago
- Neural machine translation with Recurrent Deterministic Policy Gradient☆10Aug 18, 2016Updated 9 years ago
- ☆12Jun 18, 2024Updated last year
- Minimum viable code for the Decodable Information Bottleneck paper. Pytorch Implementation.☆11Oct 20, 2020Updated 5 years ago
- Efficient joint input optimization and inference with DEQ☆10Nov 25, 2021Updated 4 years ago
- Ruby script to convert Concepts SVG files into multiple PDF pages☆11Jun 1, 2022Updated 3 years ago
- Just a demonstration of some sampling techniques (rejection sampling, importance sampling, sampling importance resampling, Metropolis sam…☆11Aug 24, 2013Updated 12 years ago
- Recommended system algorithm implementation☆10Feb 18, 2020Updated 6 years ago
- GPU accelerated Perlin Noise in python☆11Oct 23, 2020Updated 5 years ago
- Jupyter notebooks from our weekly (or so) hackathons☆11Dec 3, 2024Updated last year
- Official repository of the paper "Understanding the decisions of CNNs: an in-model approach"☆10Sep 7, 2021Updated 4 years ago
- source code for NAACL2022 main conference "Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs"☆10Sep 26, 2022Updated 3 years ago
- ACL'2023: Few-shot Event Detection: An Empirical Study and a Unified View☆11Mar 13, 2024Updated last year
- Distributed Feedback-Looped Networks☆10Jan 15, 2020Updated 6 years ago
- Reproducing the paper "The continuous Bernoulli: fixing a pervasive error in variational autoencoders" for the Reproducibility Challenge …☆12Jul 25, 2024Updated last year