Mlcode - Continuous ML API Integrations

Related tags

Text Data & NLPmlcode
Overview

mlcode

Basic APIs for ML applications.

Django REST Application

Contains REST APIs for accessing the Python ML APIs through REST.

API Lists

  • Linear Regression Using Gradient Descent
  • Logistic Regression
  • Computer Vision Object Detection
  • Computer Vision Object Classification
  • Computer Vision Object Segmentation

Linear Regression

Implementation of Simple Linear Regression Algorithm using Python

API End Point - lr
Input - 
Output -  

Logistic Regression

Logistic Regression is a supervised learning algorithm that is used when the target variable is categorical. Hypothetical function h(x) of linear regression predicts unbounded values. But in the case of Logistic Regression, where the target variable is categorical we have to strict the range of predicted values.

API End Point - lr
Input - 
Output -  
Owner
Sujith S
Jack of all trades. Master of none
Sujith S
pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation

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Manage your exceptions in Python like a PRO Currently in BETA. Inspired by this blog post. I shared the building process of this tool here. “For those

Guilherme Latrova 353 Dec 31, 2022
Fine-tuning scripts for evaluating transformer-based models on KLEJ benchmark.

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A method for cleaning and classifying text using transformers.

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Japanese NLP Library

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Research code for the paper "Fine-tuning wav2vec2 for speaker recognition"

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Python SDK for working with Voicegain Speech-to-Text

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Transcribing audio files using Hugging Face's implementation of Wav2Vec2 + "chain-linking" NLP tasks to combine speech-to-text with downstream tasks like translation and summarisation.

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Code for Findings of ACL 2022 Paper "Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR Errors"

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🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.

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Cherche (search in French) allows you to create a neural search pipeline using retrievers and pre-trained language models as rankers.

Cherche (search in French) allows you to create a neural search pipeline using retrievers and pre-trained language models as rankers. Cherche is meant to be used with small to medium sized corpora. C

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A simple visual front end to the Maya UE4 RBF plugin delivered with MetaHumans

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HiFi DeepVariant + WhatsHap workflowHiFi DeepVariant + WhatsHap workflow

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A music comments dataset, containing 39,051 comments for 27,384 songs.

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Code for the paper "Flexible Generation of Natural Language Deductions"

Code for the paper "Flexible Generation of Natural Language Deductions"

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Contains the code and data for our #ICSE2022 paper titled as "CodeFill: Multi-token Code Completion by Jointly Learning from Structure and Naming Sequences"

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Natural Language Processing with transformers

we want to create a repo to illustrate usage of transformers in chinese

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Findings of ACL 2021

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Yahui Liu 16 Feb 24, 2022
Torchrecipes provides a set of reproduci-able, re-usable, ready-to-run RECIPES for training different types of models, across multiple domains, on PyTorch Lightning.

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