☆14Mar 6, 2022Updated 4 years ago
Alternatives and similar repositories for Mendez2020Compositional
Users that are interested in Mendez2020Compositional are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Source code to reproduce experiments from Mendez et al., ICLR '22☆23Jul 29, 2022Updated 4 years ago
- Code for NeurIPS 2020 Paper --- Continual Learning of a Mixed Sequence of Similar and Dissimilar Tasks☆21Oct 24, 2022Updated 4 years ago
- Continual Learning with Gated Incremental Memories for Sequential Data Processing. IJCNN 2020. Continual Learning with Recurrent Neural N…☆15Oct 13, 2021Updated 5 years ago
- Codebase for the paper titled "Continual learning with local module selection"☆26Nov 15, 2021Updated 4 years ago
- ☆20Jun 14, 2022Updated 4 years ago
- 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.
- ☆21Mar 19, 2024Updated 2 years ago
- ☆15Apr 17, 2024Updated 2 years ago
- Continual Learning in Recurrent Neural Networks☆37Oct 12, 2021Updated 5 years ago
- Class Incremental learning, Task Incremental Learning☆17Dec 19, 2022Updated 3 years ago
- Doric is a column neural net and progressive neural net library built on pytorch.☆31Jan 16, 2021Updated 5 years ago
- Growing Dual-Memory Self-Organizing Networks☆25Jan 28, 2019Updated 7 years ago
- Automatic Recall Machines: Internal Replay, Continual Learning and the Brain☆11Jul 14, 2020Updated 6 years ago
- (NeurIPS 2020) Meta-Consolidation for Continual Learning☆37Mar 4, 2021Updated 5 years ago
- ☆26Jul 3, 2020Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Simplified code for our paper "GDumb: A Simple Approach that Questions Our Progress in Continual Learning". Easily extensible to various …☆90Oct 4, 2023Updated 3 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆24May 10, 2019Updated 7 years ago
- Pytorch implementation of "Hallucinating Agnostic Images to Generalize Across Domains"☆11Jul 10, 2019Updated 7 years ago
- Benchmarking continual learning techniques for Human Activity Recognition data. We offer interesting insights on how the performance tech…☆52Nov 23, 2023Updated 2 years ago
- Model Primitive Hierarchical Reinforcement Learning☆13Dec 8, 2022Updated 3 years ago
- ☆30Aug 8, 2021Updated 5 years ago
- INTeractive learning via REPresentatIon Discovery☆36Jun 2, 2024Updated 2 years ago
- PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"☆61Oct 8, 2022Updated 4 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆11Mar 30, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code associated with the paper 'Deep learning models for unbiased sequence-based PPI prediction plateau at an accuracy of 0.65'☆12Jul 20, 2026Updated 3 months ago
- Command-line Python package for metal-coordination mining and discovery of radical halogenases from AlphaFold2 structural models. Include…☆13Apr 24, 2026Updated 6 months ago
- ☆10Nov 14, 2024Updated last year
- 科技论文写作☆11Feb 18, 2019Updated 7 years ago
- ☆11Jan 16, 2020Updated 6 years ago
- Code for "LifeLong Incremental Reinforcement Learning (LLIRL)"☆21Jan 28, 2021Updated 5 years ago
- Code for Policy Consolidation for Continual Reinforcement Learning☆10May 12, 2019Updated 7 years ago
- Continual learning using variational prototype replays☆10Oct 17, 2020Updated 6 years ago
- ☆10May 24, 2021Updated 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.
- Solving Quadratic Assignment Problem (QAP) using Tabu Search optimization algorithm in python☆13Sep 10, 2018Updated 8 years ago
- Pytorch implementation of the paper, "Representation Learning with Contrastive Predictive Coding", or CPC, https://arxiv.org/pdf/1807.037…☆11Oct 13, 2021Updated 5 years ago
- Public version for DistPepFold☆10Jul 17, 2025Updated last year
- Implementation of Bayesian Gradient Descent☆37Oct 3, 2023Updated 3 years ago
- Intro to Machine Learning and Deep Learning for Earth-Life Sciences☆13Jun 29, 2019Updated 7 years ago
- Molecular Explanation Generator☆16Jan 26, 2022Updated 4 years ago
- Highly customizable Agent Library☆10Nov 12, 2025Updated 11 months ago