6376 Open source projects that are alternatives of or similar to Deeprl Agents

Big Data Ecosystem Docker

A Multipurpose Library for Synthetic Time Series Generation in Python

A library for federated learning (a distributed machine learning process) in an enterprise environment.

Machine Learning for Finance, published by Packt

Scikit-Learn, NLTK, Spacy, Gensim, Textblob and more

A Jupyter kernel for SAS. This opens up all the data manipulation and analytics capabilities of your SAS system within a notebook interface. Use the Jupyter Notebook interface to execute SAS code and view results inline.

Open sourced research notebooks by the QuantConnect team.

An implementation of Pix2Pix in Tensorflow for use with frames from films

quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

subpixel: A subpixel convnet for super resolution with Tensorflow

Feature Engineering Made Easy, published by Packt

Machine Learning Algorithms implementations

Python module for interfacing with the CQC t|ket> library of quantum software

A Deep Learning Case Study to detect one of the Seven Human Facial Expressions in Still Images and in Real Time. This model is also trained enough to Detect Facial Expressions of Animated Images.

Implementation for the CVPR2019 paper "Graphical Contrastive Losses for Scene Graph Generation"

1st place solution for the Kuaishou Active-user Forecast competition

Tracking Coronavirus Growth

Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone

Repository to store sample python programs for python learning

All about attention in neural networks. Soft attention, attention maps, local and global attention and multi-head attention.

Guide explaining and implementing fundamental machine learning algorithms in Python

Deep Keyphrase Extraction using BERT

SegNet model implemented using keras framework

Introduction to Uncertainty Quantification

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

A repository of Pyomo examples.

Tutorials for the Astropy Project

策略基类/ 支持QIFI协议

A game theoretic approach to explain the output of any machine learning model.

This repo contains only source code for computer science course.

AI/ML citation graph with postgres + graphql

Code for Recurrent Spatial Transformer Networks

Transformer OCR

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

Jupyter notebooks for using & learning Keras

📚 Various cheatsheets in PDF

A machine learning experiment

Previous version of eeg-notebooks

Code for "The Face of Art: Landmark Detection and Geometric Style in Portraits"

A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Tensorflow/Keras code and trained models for Episodic Curiosity Through Reachability

Keras-Tutorials

hair segmentation in mobile device

This is the code for the "How to Make Word Vectors from Game of Thrones (LIVE) " Siraj Raval on Youtube

High performance implementation of Extreme Learning Machines (fast randomized neural networks).

Abstractions, algorithms, and utilities for reinforcement learning in Julia

Stuff I uploaded to share online or to access from a different machine

Magic functions for using Jupyter Notebook with Apache Spark and a variety of SQL databases.

DGL tutorial in KDD 2019

mpld3 provides a custom stand-alone javascript library built on D3, which parses JSON representations of plots. The mpld3 python module provides a set of routines which parses matplotlib plots (using the mplexporter framework) and outputs the JSON description readable by mpld3.js.

Transfer Learning Shootout for PyTorch's model zoo (torchvision)

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

http://nlp.seas.harvard.edu/2018/04/03/attention.html