Alternatives and similar repositories for using-ml-model-abc:

Users that are interested in using-ml-model-abc are comparing it to the libraries listed below

• schmidtbri / ml-model-abc-improvements
  Code showing how to add metadata and versioning to an ML model base class.
  ☆11Updated 2 years ago
• kyang6 / annoy_tutorial
  Simple scripts to generate and use an Annoy index and lmdb map
  ☆28Updated 7 years ago
• fritshermans / pyminhash
  MinHash implementation in Python
  ☆11Updated 7 months ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• adriangonz / statistical-nlp-17
  Repository for group 17 on the Statistical Natural Language Processing module at UCL
  ☆22Updated 3 years ago
• aditya-malte / Microsoft.AI.Challenge.Machine-Reading-Comprehension-using-BERT
  The code used fine-tuning of BERT(Transformer Neural Network Architecture)to accurately pick the correct answer among ten choices that be…
  ☆12Updated 5 years ago
• JayThibs / Weak-Supervised-Learning-Case-Study
  Exploring NLP weak supervision approaches to train text classification models. The project is also a prototype for a semi-automated text …
  ☆22Updated last year
• ramsrigouthamg / BERT_generate_grammar_MCQ_from_news_article
  Use pretrained BERT model to automatically generate grammar multiple choice questions (MCQ) from any news article or story.
  ☆13Updated 5 years ago
• criteo / CriteoDisplayCTR-TFOnSpark
  ☆27Updated 3 years ago
• amansrivastava17 / text-preprocess-python
  Text preprocessing tools in python.
  ☆27Updated 7 years ago
• bhavsarpratik / semantic-search
  [WIP] Behold, semantic-search, built over sentence-transformers to make it easy for search engineers to evaluate, optimise and deploy mod…
  ☆15Updated last year
• trane-dev / Trane
  An open source python library for automated prediction engineering
  ☆45Updated last week
• joseprsm / rexify
  🦖 Streamlined Recommender Systems with TensorFlow and KubeFlow
  ☆18Updated last year
• JohnSnowLabs / spark-nlp-streamlit
  Spark NLP for Streamlit
  ☆15Updated 3 years ago
• odelliab / HowSumm
  Large-scale query-focused multi-document Summarization dataset
  ☆10Updated 3 years ago
• obss / trapper
  State-of-the-art NLP through transformer models in a modular design and consistent APIs.
  ☆45Updated 2 years ago
• ppontisso / Extreme-Multi-Label-Classification
  Introduction Notebook to Extreme Multi-Label Classification problem (XML)
  ☆22Updated 6 years ago
• dair-ai / covid_19_search_application
  Text Similarity Search Application using Modern NLP and Elasticsearch
  ☆30Updated 4 years ago
• livingmagic / nmt-with-bert-tf2
  NMT model with BERT in tensorflow 2.0
  ☆20Updated 5 years ago
• garretthoffman / AI_Conf_2019_DL_4_NLP
  Slides and Code Tutorials for AI Conf NY Tutorial on Deep Learning Methodologies for Natural Language Processing
  ☆25Updated 5 years ago
• h2oai / wave-ml
  Automatic Machine Learning (AutoML) for Wave Apps
  ☆32Updated last year
• Abhishekmamidi123 / Natural-Language-Processing
  Language Modelling, CMI vs Perplexity
  ☆11Updated 7 years ago
• latynt / ans
  Arabic News Stance Corpus
  ☆10Updated 4 years ago
• e-commerce-search / bert2dnn
  Large Scale BERT Distillation
  ☆32Updated 2 years ago
• cdpierse / transformers-interpret-streamlit
  Streamlit demo app to demonstrate the features of transformers interpret with multiple models.
  ☆25Updated 3 years ago
• dharmendrach / bert_quora_question_pairs
  BERT Model Fine-tuning on Quora Questions Pairs
  ☆32Updated 5 years ago
• joosthub / pytorch-nlp-tutorial-ny2019
  Deep Learning and Natural Language Processing using PyTorch (O'Reilly AI - NYC, 2019)
  ☆11Updated 5 years ago
• EthanWng97 / Google-BERT-on-fake_or_real-news-dataset
  📚 Use Google BERT on fake_or_real news dataset with best f1 score: 0.986
  ☆17Updated last year
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 4 years ago
• nlptown / nlppapers
  A list of notes about NLP papers
  ☆36Updated 6 years ago