MichaelMMeskhi / meta-learning-progressLinks
Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.
☆26Updated 2 years ago
Alternatives and similar repositories for meta-learning-progress
Users that are interested in meta-learning-progress are comparing it to the libraries listed below
Sorting:
- Generic reinforcement learning codebase in TensorFlow☆95Updated 4 years ago
- A general, modular, and programmable architecture search framework☆124Updated 2 years ago
- Meta learning framework with Tensorflow 2.0☆117Updated 3 years ago
- An automatic ML model optimization tool.☆199Updated 3 years ago
- Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.☆177Updated 3 years ago
- ☆61Updated 2 years ago
- ☆79Updated 5 years ago
- Population Based Training of Neural Network implemented in Keras☆35Updated 2 years ago
- Original PyTorch implementation of the Leap meta-learner (https://arxiv.org/abs/1812.01054) along with code for running the Omniglot expe…☆147Updated 2 years ago
- Population Based Training (in PyTorch with sqlite3). Status: Unsupported☆162Updated 8 years ago
- Let's solve the flatland challenge!☆74Updated 2 years ago
- This repository is created to show the Neural Arithmetic Logic Unit implementation in python using Tensorflow. The code in this repo comp…☆43Updated 7 years ago
- PyTorch functions and utilities to make your life easier☆195Updated 4 years ago
- ICLR Reproducibility Challenge 2019☆220Updated 6 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆191Updated 3 years ago
- A tiny module for machine learning experiment orchestration☆63Updated 6 years ago
- Implementation of "Learning with Random Learning Rates" in PyTorch.☆102Updated 6 years ago
- Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.☆95Updated last year
- PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and la…☆226Updated 6 years ago
- FAIR Self-Supervised Learning Integrated Multi-modal Environment (SSLIME)☆69Updated 5 years ago
- Transfer Learning library for Deep Neural Networks.☆257Updated 3 months ago
- ☆28Updated 6 years ago
- Reinforcement learning algorithm implementations and ML experimentation workspace☆43Updated 6 years ago
- ☆182Updated last year
- Loss Patterns of Neural Networks☆86Updated 4 years ago
- Reproduction of "Learning to Learn by Gradient Descent by Gradient Descent"☆48Updated 6 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆10Updated 5 years ago
- Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 dataset☆89Updated 6 years ago
- Code for ICLR 2019 paper Learning Dynamics Model by Incorporating the Long Term Future☆50Updated 6 years ago
- A cleaner way to build neural networks for PyTorch.☆183Updated 6 years ago