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Implementations of selected inverse reinforcement learning algorithms.
A collection of IRL implementations and experiments
Implementation of Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
Labelbox is the fastest way to annotate data to build and ship computer vision applications.
Tutorials on how to use pandas effectively to do data analysis
Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch
MaskTrackRCNN for video instance segmentation based on mmdetection
CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotations of Modality (ACL2020)
[ICCV 2019] Monocular depth estimation from a single image
[ACL'19] [PyTorch] Multimodal Transformer
Benchmark and build RL architectures that can do multitask and transfer learning.
Interactive visualization of networks based on Ulf Aslak's d3 web app.
TensorFlow Neural Machine Translation Tutorial
Implementation of Parallel K-Means Algorithm using MPI-C
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
Code for performing 3 multitask machine learning methods: deep neural networks, Multitask Multi-kernel Learning (MTMKL), and a hierarchical Bayesian model (HBLR).
Analysis and high-level plotting toolbox for eye-tracking data
Repo for CVPR2021 paper "QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information"
This is the knowledge base for R34 dataset cleaning.
Reproducible Analysis Pipeline for Data Streams
Rasa for Beginners
Vehicle Detection using Mask R-CNN and Computer Vision based Lane Detection
Algorithms to estimate respiratory rate from physiological signals
Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning (CVPR2020)
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
A game theoretic approach to explain the output of any machine learning model.
An application for reading health data from third-party APIs.
VIP cheatsheets for Stanford's CS 229 Machine Learning
Temporally-Aggregating Spatial Encoder-Decoder Network for Video Saliency Detection (ICCV 2019)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.