Python transfer-learning

Open-source Python projects categorized as transfer-learning

Top 23 Python transfer-learning Projects

  • transferlearning

    Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

    Project mention: [D] Medium Article: Adaptive Learning for Time Series Forecasting | /r/MachineLearning | 2022-10-02

    The src is available in I'll also publish about how to code the model for time series

  • haystack

    :mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT and alike). Haystack offers production-ready tools to quickly build complex question answering, semantic search, text generation applications, and more.

    Project mention: Is anyone doing Machine Learning in Rust? | /r/rust | 2023-05-11
  • InfluxDB

    Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.

  • autogluon

    AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data

    Project mention: pip install remyxai - easiest way to create custom vision models | /r/computervision | 2023-04-25

    This seems not very convincing. There are other popular frameworks that provide AutoML with existing datasets (eg

  • hub

    A library for transfer learning by reusing parts of TensorFlow models. (by tensorflow)

  • super-gradients

    Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

    Project mention: FLaNK Stack for 15 May 2023 | | 2023-05-15
  • Transfer-Learning-Library

    Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

  • FARM

    :house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

  • Sonar

    Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

  • transfer-learning-conv-ai

    🦄 State-of-the-Art Conversational AI with Transfer Learning

    Project mention: will gpt2 run in my laptop | /r/GPT3 | 2023-02-05
  • jiant

    jiant is an nlp toolkit

    Project mention: Any recommendation for the replacement of the toolkit jiant? [Research] [Discussion] | /r/MachineLearning | 2022-06-11

    I am doing research in NLP with the toolkit jiant ( It is a quite nice and easy-to-use tool. Unfortunately, it stopped being maintained. I wonder is there any other recommendation that I can use to replace it?

  • flow-forecast

    Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

    Project mention: Cash-flow forecasting | /r/datascience | 2022-10-07


  • finetuner

    :dart: Task-oriented finetuning for better embeddings on neural search

    Project mention: How do you think search will change with technology like ChatGPT, Bing’s new AI search engine and the upcoming Google Bard? | /r/singularity | 2023-02-21

    And all of that has something to do with finetuners. It basically fine-tunes AI models for specific use cases. With it can create a custom search experience that is tailored to their specific needs. I also wonder how this is going to be integrated into SEO tools soon since those tools are catered to traditional search engines.

  • image-background-remove-tool

    ✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

    Project mention: Show HN: Image background removal without annoying subscriptions | | 2023-05-25
  • deepdrive

    Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

  • primeqa

    The prime repository for state-of-the-art Multilingual Question Answering research and development.

    Project mention: Natural language, chat-based, AI-assisted search for Gmail | /r/SomebodyMakeThis | 2023-03-08

    Look into primeqa (github/primeqa. With some basic python programming you can do alot of things!!

  • DeepFake-Detection

    Towards deepfake detection that actually works (by dessa-oss)

  • pykale

    Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

  • assembled-cnn

    Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

  • test

    Measuring Massive Multitask Language Understanding | ICLR 2021 (by hendrycks)

    Project mention: Partial Solution To AI Hallucinations | /r/ChatGPT | 2023-05-03
  • offsite-tuning

    Offsite-Tuning: Transfer Learning without Full Model

    Project mention: [D] Difference between [ Offsite-Tuning: Transfer Learning without Full Model ] and Federated learning? | /r/MachineLearning | 2023-02-19

    Found relevant code at + all code implementations here

  • pytorch-adapt

    Domain adaptation made easy. Fully featured, modular, and customizable.

    Project mention: PyTorch-adapt re-purposes existing ML models to work in new domains | | 2022-11-30
  • xfer

    Transfer Learning library for Deep Neural Networks.

  • kiri

    Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models. (by kiri-ai)

  • laserembeddings

    LASER multilingual sentence embeddings as a pip package

    Project mention: Firefox Translations doesn't use the cloud | | 2022-11-29

    You're pretty much right on the money. For ParaCrawl[1] (which I worked on) we used fast machine translation systems that were "good enough" to translate one side of each pair to the language of the other, see whether they'd match sufficiently, and then deal with all the false positives through various filtering methods. Other datasets I know of use multilingual sentence embeddings, like LASER[2], to compute the distance between two sentences.

    Both of these methods have a bootstrapping problem, but at this point in the MT for many languages we have enough data to get started. Previous iterations of ParaCrawl used things like document structure and overlap of named entities among sentences to identify matching pairs. But this is much less robust. I don't know how they solve this problem today for low-resource languages.



  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2023-05-25.

Python transfer-learning related posts


What are some of the best open-source transfer-learning projects in Python? This list will help you:

Project Stars
1 transferlearning 11,519
2 haystack 8,976
3 autogluon 5,799
4 hub 3,342
5 super-gradients 2,672
6 Transfer-Learning-Library 2,570
7 FARM 1,667
8 transfer-learning-conv-ai 1,636
9 jiant 1,520
10 flow-forecast 1,465
11 finetuner 1,073
12 image-background-remove-tool 916
13 deepdrive 836
14 primeqa 546
15 DeepFake-Detection 394
16 pykale 386
17 assembled-cnn 329
18 test 297
19 offsite-tuning 292
20 pytorch-adapt 270
21 xfer 250
22 kiri 238
23 laserembeddings 205
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives