515 Open source projects that are alternatives of or similar to AI_booklet_CE-AUT

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Notes on Deep Reinforcement Learning for Natural Language Processing papers

A high-level framework for advanced deep learning with TensorFlow

A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.

Decentralized Reinforcment Learning: Global Decision-Making via Local Economic Transactions (ICML 2020)

Machine Learning for Information Retrieval

Flappy Frog hack using Deep Reinforcement Learning (Deep Q-learning). 暴力膜蛤不可取。

PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)

Source code for the dissertation: "Multi-Pass Deep Q-Networks for Reinforcement Learning with Parameterised Action Spaces"

Live Trading. Please star.

(Python) transform a document-term matrix to an Okapi/BM25 representation

Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations

No description or website provided.

Multilingual automatic text summarizer using statistical approach and extraction

An index of recommendation algorithms that are based on Graph Neural Networks.

Automating various decisions stochastically, starting with my current coin-based intermittent fasting and dice-based kettlebell.

机器学习、深度学习、自然语言处理

The Web IR / NLP Group (WING)'s public reading group at the National University of Singapore.

Moore Machine Networks (MMN): Learning Finite-State Representations of Recurrent Policy Networks

A tutorial on scalable retrieval of matrix factorization recommendations

Code for WWW2019 paper "A Hierarchical Attention Retrieval Model for Healthcare Question Answering"

SIGIR'21: Optimizing DR with hard negatives and achieving SOTA first-stage retrieval performance on TREC DL Track.

Deep Reinforcement Learning in Autonomous Driving: the A3C algorithm used to make a car learn to drive in TORCS; Python 3.5, Tensorflow, tensorboard, numpy, gym-torcs, ubuntu, latex

General Architecture for Text Engineering

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

A tutorial series by Preferred.AI

Ramudroid, autonomous solar-powered robot to clean roads, realtime object detection and webrtc based streaming

tools for fast reading of docs

A list of papers and datasets about natural/color image segmentation (processing)

Lightweight deep RL Libraray for continuous control.

[ICRA 2021] Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

A fast Tsetlin Machine implementation employing bit-wise operators, with MNIST demo.

Track any ip address with IP-Tracker. IP-Tracker is developed for Linux and Termux. you can retrieve any ip address information using IP-Tracker.

Cloud-native Financial Reinforcement Learning

Large, curated set of benchmark datasets for evaluating automatic keyphrase extraction algorithms.

A Real-Time-Strategy game for Deep Learning research

Search Git commits in natural language

Eagerly Experimentable!!!

Fielded Sequential Dependence Model (code and runs)

🦜 DISCOTRESS 🦜 is a software package to simulate and analyse the dynamics on arbitrary Markov chains

📚 social networks from novels

Python implementations of the various methods used in FIRE 2019 conference.

Calculates the best possible answer for multiple-choice questions using techniques to maximize accuracy without any other outside resources or knowledge.

Simple (but often Strong) Baselines for POMDPs in PyTorch - ICML 2022

An out-of-the-box GUI tool for offline deep reinforcement learning

Kex is a python library for unsupervised keyword extraction from a document, providing an easy interface and benchmarks on 15 public datasets.

source code for 'Improving automatic source code summarization via deep reinforcement learning'

A python package for graph kernels, graph edit distances, and graph pre-image problem.

使用深度强化学习解决视觉跟踪和视觉导航问题

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

Experimenting with a newly published deep learning paper and how it can be used for content-based 3D model retrieval. (info retrieval for CAD)

We reproduced DeepMind's results and implement a meta-learning (MLSH) agent which can generalize across minigames.

Learning Continuous Control in Deep Reinforcement Learning

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

Pytorch reimplementation for "Gradient Surgery for Multi-Task Learning"

PyTorch implementation of some reinforcement learning algorithms: A2C, PPO, Behavioral Cloning from Observation (BCO), GAIL.

No description or website provided.

Exercises and notes for N.G. Van Kampen's Stochastic Processes in Physics and Chemistry

Reinforcement Learning Demos