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Top 23 Python transfer-learning Projects
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 https://github.com/jindongwang/transferlearning I'll also publish about how to code the model for time series
: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
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: AutoML for Image, Text, Time Series, and Tabular DataProject 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 https://github.com/autogluon/autogluon)
A library for transfer learning by reusing parts of TensorFlow models. (by tensorflow)
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 | dev.to | 2023-05-15
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
:house_with_garden: Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
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🦄 State-of-the-Art Conversational AI with Transfer LearningProject mention: will gpt2 run in my laptop | /r/GPT3 | 2023-02-05
jiant is an nlp toolkitProject 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 (https://github.com/nyu-mll/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?
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
:dart: Task-oriented finetuning for better embeddings on neural searchProject 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.
✂️ Automated high-quality background removal framework for an image using neural networks. ✂️Project mention: Show HN: Image background removal without annoying subscriptions | news.ycombinator.com | 2023-05-25
Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
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!!
Towards deepfake detection that actually works (by dessa-oss)
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem
Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
Measuring Massive Multitask Language Understanding | ICLR 2021 (by hendrycks)Project mention: Partial Solution To AI Hallucinations | /r/ChatGPT | 2023-05-03
Offsite-Tuning: Transfer Learning without Full ModelProject mention: [D] Difference between [ Offsite-Tuning: Transfer Learning without Full Model ] and Federated learning? | /r/MachineLearning | 2023-02-19
Found relevant code at https://github.com/mit-han-lab/offsite-tuning + all code implementations here
Domain adaptation made easy. Fully featured, modular, and customizable.Project mention: PyTorch-adapt re-purposes existing ML models to work in new domains | news.ycombinator.com | 2022-11-30
Transfer Learning library for Deep Neural Networks.
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models. (by kiri-ai)
LASER multilingual sentence embeddings as a pip packageProject mention: Firefox Translations doesn't use the cloud | news.ycombinator.com | 2022-11-29
You're pretty much right on the money. For ParaCrawl (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, 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.
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Python transfer-learning related posts
Partial Solution To AI Hallucinations
1 project | /r/ChatGPT | 3 May 2023
Show HN: Haystack NLP Now Supports GPT4 with PromptNode and Agent
1 project | news.ycombinator.com | 28 Apr 2023
Haystack: An NLP Framework to Use Transformers in Your Applications
1 project | news.ycombinator.com | 30 Mar 2023
Build LLM-Based Agents Yourself with Open Source
1 project | news.ycombinator.com | 29 Mar 2023
[D] GPT Question Answering with Reasoning
1 project | /r/MachineLearning | 27 Mar 2023
I build an open-source google-like search for workplace knowledge
3 projects | /r/selfhosted | 19 Mar 2023
1 project | /r/singularity | 14 Mar 2023
A note from our sponsor - Sonar
www.sonarsource.com | 5 Jun 2023
What are some of the best open-source transfer-learning projects in Python? This list will help you: