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

• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆93Updated 6 years ago
• equialgo / fairness-in-ml
  This repository contains the full code for the "Towards fairness in machine learning with adversarial networks" blog post.
  ☆119Updated 4 years ago
• 2wavetech / Probabilistic-Graphical-Model
  This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Univers…
  ☆35Updated 8 years ago
• paraschopra / bayesian-neural-network-mnist
  Bayesian neural network using Pyro and PyTorch on MNIST dataset
  ☆316Updated 7 years ago
• rcamino / multi-categorical-gans
  Code for the paper "Generating Multi-Categorical Samples with Generative Adversarial Networks"
  ☆50Updated 2 years ago
• albertauyeung / matrix-factorization-in-python
  ☆86Updated 2 years ago
• kimhc6028 / soft-decision-tree
  pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
  ☆302Updated 7 years ago
• andrecianflone / thompson
  Thompson Sampling Tutorial
  ☆56Updated 7 years ago
• Feryal / rl_mlss_2020
  ☆53Updated 5 years ago
• jldbc / bandits
  Multi-Armed Bandit algorithms applied to the MovieLens 20M dataset
  ☆57Updated 5 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆240Updated 5 years ago
• mlss-2019 / tutorials
  ☆275Updated 5 years ago
• maxwshen / iap-cidl
  Causal Inference & Deep Learning, MIT IAP 2018
  ☆89Updated 8 years ago
• b13302 / Practical_RL-coursera
  My Solution to the Programming Assignments for Practical Reinforcement Learning from Coursera
  ☆67Updated 5 years ago
• ArrasL / LRP_for_LSTM
  Layer-wise Relevance Propagation (LRP) for LSTMs.
  ☆226Updated 5 years ago
• yashu-seth / pytorch-tabular
  A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.
  ☆67Updated 6 years ago
• SeongokRyu / Bayesian-deep-learning
  Notes and codes of the topic "Bayesian deep learning"
  ☆56Updated 7 years ago
• yzhao062 / awesome-ensemble-learning
  Ensemble learning related books, papers, videos, and toolboxes
  ☆307Updated 6 years ago
• yfletberliac / rlss-2019
  Materials for the Practical Sessions of the Reinforcement Learning Summer School 2019: Bandits, RL & Deep RL (PyTorch).
  ☆90Updated 6 years ago
• Kyushik / Predictive-Uncertainty-Estimation-using-Deep-Ensemble
  This repository is the code for Predictive Uncertainty Estimation using Deep Ensemble
  ☆157Updated 3 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆96Updated 3 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆138Updated 5 years ago
• otokonoko8 / deep-Bayesian-nonparametrics-papers
  The collection of papers about combining deep learning and Bayesian nonparametrics
  ☆122Updated 6 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆277Updated 6 years ago
• kyunghyuncho / 2024-causal-inference-machine-learning
  ☆30Updated last year
• allenday / contextual-bandit
  working example of a contextual multi-armed bandit
  ☆55Updated 6 years ago
• ijmbarr / notes-on-causal-inference
  Some notes on Causal Inference, with examples in python
  ☆156Updated 5 years ago
• probabilistic-learning / HI-VAE
  ☆92Updated 2 years ago
• wOOL / DNDT
  Deep Neural Decision Trees
  ☆165Updated 3 years ago
• mcgrady20150318 / BayesianNeuralNetwork
  a repo sharing Bayesian Neural Network recent papers
  ☆216Updated 6 years ago