Alternatives and similar repositories for RACOS

Users that are interested in RACOS are comparing it to the libraries listed below

• jiayuzhou / MALSAR
  Multi-task learning via Structural Regularization
  ☆134Updated 4 years ago
• LIBOL / LIBOL
  Library for Online Learning algorithms
  ☆67Updated 10 years ago
• eyounx / ZOOpt
  A python package of Zeroth-Order Optimization (ZOOpt)
  ☆412Updated 3 years ago
• mlresearch / v80
  Proceedings of ICML 2018
  ☆39Updated 2 years ago
• h2r / burlap_caffe
  ☆53Updated 8 years ago
• pemami4911 / sinkhorn-policy-gradient.pytorch
  Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"
  ☆39Updated 7 years ago
• devsisters / neural-combinatorial-rl-tensorflow
  in progress
  ☆108Updated 8 years ago
• xwhan / walk_the_blocks
  Implementation of Scheduled Policy Optimization for task-oriented language grouding
  ☆29Updated 7 years ago
• danyaljj / constrained_clustering
  A MATLAB project containing many popular / existing constrained clustering algorithms
  ☆27Updated 7 years ago
• zixu1986 / Doubly_Stochastic_Gradients
  Code for doubly stochastic gradients
  ☆25Updated 10 years ago
• xianggebenben / dlADMM
  dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers
  ☆165Updated 2 years ago
• fabianp / hoag
  Hyperparameter optimization with approximate gradient
  ☆66Updated 4 years ago
• wOOL / DMTRL
  [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach
  ☆58Updated 8 years ago
• automl / pylearningcurvepredictor
  predicting learning curves in python
  ☆43Updated 8 years ago
• stone8oy / deepRL
  deep reinforcement learning for personal research
  ☆84Updated 7 years ago
• ilyakava / sumproduct
  Sum product algorithm - Belief propagation (message passing) for factor graphs
  ☆87Updated 7 years ago
• tanmayshankar / RCNN_MDP
  Code base for solving Markov Decision Processes and Reinforcement Learning problems using Recurrent Convolutional Neural Networks.
  ☆69Updated 7 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• cciliber / matMTL
  Multi Task Learning Package for Matlab
  ☆21Updated 6 years ago
• chaitanya-m / kdd2018
  Files submitted to kdd2018 for EFDT paper
  ☆22Updated 6 years ago
• ramarlina / som
  Self-Organizing Map for unsupervised feature engineering and dimensionality reduction
  ☆21Updated 12 years ago
• fabianp / group_lasso
  ☆39Updated 12 years ago
• lucfra / FAR-HO
  Gradient based hyperparameter optimization & meta-learning package for TensorFlow
  ☆188Updated 5 years ago
• hhexiy / scip-dagger
  A branch-and-bound ILP solver
  ☆27Updated 6 years ago
• callowbird / Harmonica
  Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.
  ☆173Updated 6 years ago
• onlytailei / pytorch-rl
  Deep Reinforcement Learning with pytorch & visdom (the branch for A3C continuous control)
  ☆23Updated 7 years ago
• illidanlab / cdrl
  Collaborative Deep Reinforcement Learning
  ☆31Updated 8 years ago
• xzhren / DeepForest
  upgrade official version of gcForest v1.0.
  ☆21Updated 7 years ago
• analog-rl / Duel_DDQN
  Duel_DDQN (Dueling Network Architectures + Double DQN) using Keras
  ☆31Updated 9 years ago
• IssamLaradji / BlockCoordinateDescent
  Code for the paper "Let’s Make Block Coordinate Descent Go Fast"
  ☆48Updated 2 years ago