963 Open source projects that are alternatives of or similar to Ml Surveys

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

📖Notes and remarks on Machine Learning related papers

Accelerated deep learning R&D

Classic papers and resources on recommendation

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

Reinforced Recommendation toolkit built around pytorch 1.7

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

entity2rec generates item recommendation using property-specific knowledge graph embeddings

Papers about recommendation systems that I am interested in

A Curated List of Must-read Papers on Recommender System.

A Configurable Recommender Systems Simulation Platform

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Reproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).

Blocks World -- Simulator, Code, and Models (Misra et al. EMNLP 2017)

Solved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley

✏️ Free open source alternative to TypeForm, TellForm, or Google Forms ⛺

Predict/log/learn/update reinforcement learning loop

Mostly free resources for end-to-end machine learning engineering, including open courses from CalTech, Columbia, Berkeley, MIT, and Stanford (in alphabetical order).

Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017

Paper List for Style Transfer in Text

Framework for building algorithms based on FractalAI

Reinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.

Implementation of q-learning using TensorFlow

The Continuous Bag-of-Words model (CBOW) is frequently used in NLP deep learning. It's a model that tries to predict words given the context of a few words before and a few words after the target word.

Implementing trajectory optimization on bipedal system

Computer code collated for use with Artificial Intelligence Engines book by JV Stone

List of summer schools in machine learning + related fields across the globe

DHER: Hindsight Experience Replay for Dynamic Goals (ICLR-2019)

Visualize word embeddings of a vocabulary in TensorBoard, including the neighbors

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

Behavior Optimization and Learning for Robots

Large scale training of factorization models for Collaborative Filtering with PyTorch

Attention,Factorization Machine, Deep Learning, Recommender System

Collection of reinforcement learners implemented in python. Mainly including DQN and its variants

Implementation of the Deep Q-learning algorithm to solve MDPs

MIT DeepTraffic top 2% solution (75.01 mph) 🚗.

For deep RL and the future of AI.

The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.

A Clojure library for querying large data-sets on similarity

finalfusion embeddings in Rust

Playing Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning

Using deep reinforcement learning to tackle the game 2048.

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

Minimalistic gridworld package for OpenAI Gym

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Conversational AI Reading Materials

Building recommenders with Elastic Graph!

Open source collection of Reinforcement Learning Environments.

An implementation of word2vec applied to [stanford philosophy encyclopedia](http://plato.stanford.edu/)

Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations

The notes for Math, Machine Learning, Deep Learning and Research papers.

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Gridworld environments for OpenAI gym.

Omaha Poker functionality+some features for PokerRL Reinforcement Learning card framwork

Rare pupper image compression model for word-embedding-esque operations.