xlives

Pinned Repositories

20-papers-reading-and-replicate-results
* We aim to quickly read 20 papers and replicate their results.
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ait-thesis-latex-template
AIT Thesis - LaTeX Template
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attract-repel
The Attract-Repel algorithm presented in (Mrkšić et al., TACL 2017), with accompanying resources.
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basic-clojure-sprint3r
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BipolarABASolver
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BroadleafCommerce
Broadleaf Commerce - Enterprise eCommerce framework based on Spring
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cel
A lightweight Description Logic reasoner for large-scale biomedical ontologies
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coursera-deeplearning.ai-CNN-Course-4
Coursera Deep Learning Course 4
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xlives.github.io
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xlives's Repositories

xlives/xlives.github.io
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xlives/BipolarABASolver
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xlives/coursera-deeplearning.ai-CNN-Course-4
Coursera Deep Learning Course 4
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xlives/Coursera-Machine-Learning
Coursera Machine Learning - Python code
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xlives/Coursera-Machine-Learning-Stanford
Machine learning-Stanford University
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xlives/CRWB-Research-Group
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xlives/datasciencecoursera
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
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xlives/deep-learning-coursera
Deep Learning Specialization by Andrew Ng on Coursera.
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xlives/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
xlives/deep_learning_object_detection
A paper list of object detection using deep learning.
xlives/Deeplearning-study
My own codes while learning deeplearning
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xlives/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
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xlives/ds-cheatsheets
List of Data Science Cheatsheets to rule the world
xlives/Halfrost-Field
✍️ 这里是写博客的地方 —— Halfrost-Field 冰霜之地
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xlives/image_classification
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xlives/LiteratureDL4Graph
xlives/Machine-Learning-by-Andrew-Ng-in-Python
Documenting my python implementation of Andrew Ng's Machine Learning course
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xlives/machine-learning-with-ontologies
xlives/Math-of-Machine-Learning-Course-by-Siraj
Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
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xlives/MnemonicReader
A PyTorch implementation of Mnemonic Reader for the Machine Comprehension task
xlives/nlp_2019
NLP course at Chulalongkorn University 2019
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xlives/nlp_overview
Overview of Modern Deep Learning Techniques Applied to Natural Language Processing
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xlives/pykeen
🤖 A Python library for learning and evaluating knowledge graph embeddings
xlives/python-docs-samples
Code samples used on cloud.google.com
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xlives/stanford-CS229
This repository provides python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng
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xlives/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
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xlives/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
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xlives/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners with Latest APIs
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xlives/tfjs-pacman
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xlives/Thai-MNIST
Thai digit handwriting and example code
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