vesran

vesran's Stars

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.5k950243.7k

• google/python-fire

  Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

  Language:Python27.3k3693241.4k

• PromtEngineer/localGPT

  Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.

  Language:Python20.2k1695432.3k

• NielsRogge/Transformers-Tutorials

  This repository contains demos I made with the Transformers library by HuggingFace.

  Language:Jupyter Notebook9.7k1434541.5k

• alirezamika/autoscraper

  A Smart, Automatic, Fast and Lightweight Web Scraper for Python

  Language:Python6.6k12463682

• facebookresearch/dlrm

  An implementation of a deep learning recommendation model (DLRM)

  Language:Python3.8k106213846

• jbesomi/texthero

  Text preprocessing, representation and visualization from zero to hero.

  Language:Python2.9k43120239

• PacktPublishing/Deep-Reinforcement-Learning-Hands-On

  Hands-on Deep Reinforcement Learning, published by Packt

  Language:Python2.9k121821.3k

• ekzhu/datasketch

  MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

  Language:Python2.6k48166296

• chartbeat-labs/textacy

  NLP, before and after spaCy

  Language:Python2.2k87262249

• fhamborg/news-please

  news-please - an integrated web crawler and information extractor for news that just works

  Language:Python2.1k54180431

• MaxHalford/prince

  :crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

  Language:Python1.3k25133184

• skrub-data/skrub

  Prepping tables for machine learning

  Language:Python1.3k22368107

• abhishekkrthakur/tez

  Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

  Language:Python1.2k1741144

• wikipedia2vec/wikipedia2vec

  A tool for learning vector representations of words and entities from Wikipedia

  Language:Python9453568103

• flennerhag/mlens

  ML-Ensemble – high performance ensemble learning

  Language:Python8482898109

• MIND-Lab/OCTIS

  OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

  Language:Python74115103107

• cbaziotis/ekphrasis

  Ekphrasis is a text processing tool, geared towards text from social networks, such as Twitter or Facebook. Ekphrasis performs tokenization, word normalization, word segmentation (for splitting hashtags) and spell correction, using word statistics from 2 big corpora (english Wikipedia, twitter - 330mil english tweets).

  Language:Python665182890

• oborchers/Fast_Sentence_Embeddings

  Compute Sentence Embeddings Fast!

  Language:Jupyter Notebook618125584

• rrenaud/Gibberish-Detector

  A small program to detect gibberish using a Markov Chain

  Language:Python6002810153

• neuml/codequestion

  🔎 Semantic search for developers

  Language:Python537173147

• vi3k6i5/GuidedLDA

  semi supervised guided topic model with custom guidedLDA

  Language:Python5011360110

• jiesutd/Text-Attention-Heatmap-Visualization

  Plot the vector graph of attention based text visualisation

  Language:Python3708258

• uzaymacar/attention-mechanisms

  Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

  Language:Python35011282

• faustomorales/vit-keras

  Keras implementation of ViT (Vision Transformer)

  Language:Python33883881

• Alir3z4/stop-words

  List of common stop words in various languages.

  329168243

• ydamni/cloud-is-free

  Learn how to setup Cloud projects... for free!

  Language:HTML2838347

• topspinj/recommender-tutorial

  An introduction to recommendation systems in Python

  Language:HTML1787174

• harshraj11584/Paper-Implementation-Matrix-Factorization-Recommender-Systems-Netflix

  [Python3.6] IEEE Paper "Matrix Factorization Techniques for Recommender Systems" by Koren,Bell,Volinsky

  Language:Jupyter Notebook282121

• Ankur3107/nlp_preprocessing

  Text Preprocessing Package includes cleaning, tokenization, dataset preparation ...etc

  Language:JavaScript17177