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

• HazyResearch / snorkel-superglue
  Applying Snorkel to SuperGLUE
  ☆26Updated 6 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated 2 years ago
• openredact / nerwhal
  This is a prototype of a multi-lingual suite for named-entity recognition in Python.
  ☆21Updated last year
• schmidtbri / ml-model-abc-improvements
  Code showing how to add metadata and versioning to an ML model base class.
  ☆11Updated 3 years ago
• shahules786 / twitter-emotions
  NLP tool to extract emotional phrase from tweets 🤩
  ☆40Updated 4 years ago
• iaramer / dobbi
  An open-source NLP library: fast text cleaning and preprocessing
  ☆23Updated 4 years ago
• vibhavnirmal / Knowledge-Graph-based-QnA
  Developing a Knowledge Graph-based Question and Answering program to extract information from huge dataset
  ☆95Updated 2 years ago
• maxmatical / ml-cheatsheet
  ☆43Updated 2 years ago
• aromain / intermarche_challenge
  [Intemarché] Sales forecasting challenge
  ☆11Updated 4 years ago
• shahrukhx01 / bert-probe
  BERT Probe: A python package for probing attention based robustness to character and word based adversarial evaluation. Also, with recipe…
  ☆18Updated 3 years ago
• obss / trapper
  State-of-the-art NLP through transformer models in a modular design and consistent APIs.
  ☆47Updated 3 years ago
• aneesha / Natural-Language-Database-Queries-with-Zero-Shot-RoBERTa-based-SQL-Query-Generation
  ☆11Updated 4 years ago
• hanneshapke / Deploying-Deep-Learning-Models
  Strategies to deploy deep learning models
  ☆27Updated 7 years ago
• UKPLab / incorporating-relevance
  Code for "Incorporating Relevance Feedback for Information-Seeking Retrieval using Few-Shot Document Re-Ranking" (https://arxiv.org/abs/2…
  ☆14Updated this week
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• practicalweaksupervisionbook / companion
  ☆24Updated 4 years ago
• zhaoxy92 / GLaRA
  GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition
  ☆31Updated 4 years ago
• e-commerce-search / bert2dnn
  Large Scale BERT Distillation
  ☆33Updated 2 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
• MonaNashaat / Asterisk
  Generating Training Data Made Easy
  ☆43Updated 5 years ago
• thomasjpfan / skconfig
  Experimental library for sampling and validating scikit-learn parameters
  ☆10Updated 6 years ago
• yuanbit / jina-financial-qa-search
  ☆69Updated 5 years ago
• sgugger / hf_examples
  NLP Examples using the 🤗 libraries
  ☆40Updated 4 years ago
• npatta01 / pytorch-serving-workshop
  Slides and notebook for the workshop on serving bert models in production
  ☆25Updated 3 years ago
• hanneshapke / TensorFlow-World-Adv-Introduction-TF-Serving
  This repository contains all code examples for my TensorFlow World talk about "Advanced model deployments with TensorFlow Serving"
  ☆17Updated 3 years ago
• adriangonz / statistical-nlp-17
  Repository for group 17 on the Statistical Natural Language Processing module at UCL
  ☆23Updated 4 years ago
• deeppavlov / dp_tutorials
  ☆33Updated 6 years ago
• SiphuLangeni / tortus
  A PyPI package for easy text annotation in a Jupyter Notebook.
  ☆29Updated 4 years ago
• rjurney / weakly_supervised_learning_code
  The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney
  ☆36Updated 5 years ago
• sayakpaul / CI-CD-for-Model-Training
  This repository holds files and scripts for incorporating simple CI/CD practices for model training in ML.
  ☆21Updated 4 years ago