harshraj11584 / Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
☆24Updated 5 years ago
Alternatives and similar repositories for Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder:
Users that are interested in Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder are comparing it to the libraries listed below
- This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Univers…☆33Updated 7 years ago
- Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).☆88Updated 5 years ago
- More about the exploration-exploitation tradeoff with harder bandits☆24Updated 5 years ago
- Deep learning course CE7454, 2018☆78Updated 5 years ago
- Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset☆56Updated 4 years ago
- Stochastic Mirror Descent on CIFAR-10☆18Updated 5 years ago
- My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow☆55Updated 3 years ago
- My Solution to the Programming Assignments for Practical Reinforcement Learning from Coursera☆67Updated 4 years ago
- PyTorch tutorial for learners☆120Updated 5 years ago
- Code for "A Meta Transfer Objective For Learning To Disentangle Causal Mechanisms"☆125Updated 5 years ago
- Meta learning is a subfield of machine learning where automatic learning algorithms are applied on metadata about machine learning experi…☆27Updated 5 years ago
- ☆22Updated 5 years ago
- https://cs330.stanford.edu/☆62Updated last year
- MLSS2019 Tutorial on Bayesian Deep Learning☆92Updated 5 years ago
- Official implementation of Temporal-Guided Networks☆48Updated 4 years ago
- ☆16Updated 6 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 4 years ago
- Notes and codes of the topic "Bayesian deep learning"☆56Updated 6 years ago
- This repo is for a reinforcement learning project using citiBike data☆28Updated 5 years ago
- Code for our ICML '19 paper: Neural Network Attributions: A Causal Perspective.☆51Updated 3 years ago
- Code for "Generative causal explanations of black-box classifiers"☆33Updated 4 years ago
- A PyTorch reimplementation of MAML, replicating some of the experiments from the paper.☆41Updated 6 years ago
- ☆52Updated 4 years ago
- Implementation of various multi-armed bandits algorithms on a 10-arm testbed.☆37Updated 5 years ago
- Implement the learning algorithm from the paper "Distance metric learning, with application to clustering with side-information [Eric P. …☆16Updated 6 years ago
- ☆63Updated 6 years ago
- General purpose library for BNNs, and implementation of OC-BNNs in our 2020 NeurIPS paper.☆38Updated 2 years ago
- Guide for both TensorFlow and PyTorch in comparative way☆108Updated 5 years ago
- Kernel Change-point Detection with Auxiliary Deep Generative Models (ICLR 2019 paper)☆58Updated last year
- ☆87Updated last year