eyounx / RACOSLinks
A theoretically-grounded derivative-free optimization method, born from a statistical view of evolutionary algorithms
☆68Updated 5 years ago
Alternatives and similar repositories for RACOS
Users that are interested in RACOS are comparing it to the libraries listed below
Sorting:
- A python package of Zeroth-Order Optimization (ZOOpt)☆412Updated 3 years ago
- in progress☆108Updated 8 years ago
- Multi-task learning via Structural Regularization☆135Updated 4 years ago
- A MATLAB project containing many popular / existing constrained clustering algorithms☆28Updated 7 years ago
- Implementation of Scheduled Policy Optimization for task-oriented language grouding☆29Updated 7 years ago
- Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"☆40Updated 7 years ago
- Deep Reinforcement Learning with pytorch & visdom (the branch for A3C continuous control)☆23Updated 8 years ago
- ☆53Updated 9 years ago
- predicting learning curves in python☆44Updated 8 years ago
- A branch-and-bound ILP solver☆27Updated 6 years ago
- Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search☆155Updated last year
- Library for Online Learning algorithms☆67Updated 11 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆190Updated 5 years ago
- Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.☆175Updated 7 years ago
- An introduction to variational Bayesian☆24Updated 7 years ago
- Hyperparameter optimization with approximate gradient☆66Updated 4 years ago
- Proceedings of ICML 2018☆39Updated 5 months ago
- Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.☆69Updated 8 years ago
- A lightweight MATLAB deeplearning toolbox,based on gpuArray.☆53Updated 8 years ago
- Collection of Deep Reinforcement Learning algorithms☆124Updated 8 years ago
- dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers☆169Updated 2 years ago
- This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .☆104Updated 7 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 8 years ago
- Additive Gaussian Process Bandits - version 1.0☆27Updated 9 years ago
- Active learning toolbox for MATLAB☆46Updated 8 years ago
- deep reinforcement learning for personal research☆85Updated 8 years ago
- Task-based end-to-end model learning in stochastic optimization☆216Updated 5 years ago
- Neighborhood Components Analysis in C++☆38Updated 15 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 12 years ago
- Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras☆31Updated 9 years ago