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rspapers icon rspapers

Must-read papers on Recommender System.

scrapy icon scrapy

Scrapy, a fast high-level web crawling & scraping framework for Python.

sdne icon sdne

This is a implementation of SDNE (Structural Deep Network embedding)

sdne-keras icon sdne-keras

Keras implementation of Structural Deep Network Embedding, KDD 2016

spacy icon spacy

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

state-of-the-art-result-for-machine-learning-problems icon state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

theano icon theano

Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.

tqdm icon tqdm

A Fast, Extensible Progress Bar for Python and CLI

transformers icon transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

trix icon trix

A rich text editor for everyday writing

unilm icon unilm

UniLM - Unified Language Model Pre-training

vision icon vision

Datasets, Transforms and Models specific to Computer Vision

webmagic icon webmagic

A scalable web crawler framework for Java.

xgboost icon xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

you-get icon you-get

:arrow_double_down: Dumb downloader that scrapes the web

youtube-8m icon youtube-8m

Starter code for working with the YouTube-8M dataset.

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