Top 23 Python Artificial intelligence Projects
💫 Industrial-strength Natural Language Processing (NLP) in PythonProject mention: Parsing Addresses With Machine Learning | dev.to | 2021-10-18
A key feature of our address verification product is speed. Therefore, the library we chose to help build our address parser had to be up for the task. After comparing a few options, we chose spaCy. Given its state-of-the-art speed, named entity recognition feature, and documentation, spaCy is very suitable for this task.
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.Project mention: [P] An introduction to PyKale https://github.com/pykale/pykale, a PyTorch library that provides a unified pipeline-based API for knowledge-aware multimodal learning and transfer learning on graphs, images, texts, and videos to accelerate interdisciplinary research. Welcome feedback/contribution! | reddit.com/r/MachineLearning | 2021-04-25
If you want a good example for reference, take a look at Pytorch Lightning's readme (https://github.com/PyTorchLightning/pytorch-lightning) It answers the 3 questions of "what is this", "why should I care", and "how do i use it" almost instantly
Optimize your datasets for ML. Goodbye, boilerplate code - the fastest dataset optimization and management tool for computer vision.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.Project mention: [R] Facebook AI’s NormFormer Employs Extra Normalization to Significantly Improve Transformer Pretraining | reddit.com/r/MachineLearning | 2021-10-26
The code to train NormFormer models is available on the project’s GitHub. The paper NormFormer: Improved Transformer Pretraining with Extra Normalization is on arXiv.
Best Practices on Recommendation SystemsProject mention: Opinion on choice of model - Recommender System | reddit.com/r/datascience | 2021-04-10
Then I tried to find some more advanced models and I found this really good list and in there I found the Microsoft one. So it's' where we are now, which a bunch of different models and not a documentation/tutorials out there.
⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡Project mention: Awesome Penetration Testing | dev.to | 2021-10-06
Ciphey - Automated decryption tool using artificial intelligence and natural language processing.
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilitiesProject mention: Sort Image Files | reddit.com/r/learnpython | 2021-08-26
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
Run Linux Software Faster and Safer than Linux with Unikernels.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in PytorchProject mention: [D] Training vision transformers on a specific dataset from scratch | reddit.com/r/MachineLearning | 2021-08-06
lucid rains VI has all of what you may need in a clean API
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!Project mention: A bot is livestreaming. Clearly Blizzard doesn't care. | reddit.com/r/Diablo | 2021-10-25
You don't need a whole team nowadays. Amazon has services that let you train your own neural nets with a little bit of knowledge. Then there are tools like SerpentAI that let your AI interface with games (don't know if it works with Blizzard games, but it works with Steam).
Official Stanford NLP Python Library for Many Human LanguagesProject mention: Stanza – A Python NLP Package for Many Human Languages | news.ycombinator.com | 2021-10-27
Mycroft Core, the Mycroft Artificial Intelligence platform.Project mention: Are there any smart speakers that focus on privacy? | reddit.com/r/homeautomation | 2021-10-24
Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!Project mention: [D] AI Background Removal: a quick comparison between RVM & BGMv2 | reddit.com/r/MachineLearning | 2021-10-10
Predictive AI layer for existing databases.
A Smart, Automatic, Fast and Lightweight Web Scraper for PythonProject mention: Turn Any Website Into An API with AutoScraper and FastAPI | dev.to | 2021-04-24
In this article, we will learn how to create a simple e-commerce search API with multiple platform support: eBay and Amazon. AutoScraper and FastAPi provide the ability to create a powerful JSON API for the date. With Playwright's help, we'll extend our scraper and avoid blocking by using ScrapingAnt's web scraping API.
Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnounProject mention: Told an AI to generate Linux. Looks about right | reddit.com/r/linuxmasterrace | 2021-10-21
In case you have some damn good gamer-level GPU, you can try this FOSS alternative locally instead: https://github.com/lucidrains/deep-daze
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in PytorchProject mention: Still waiting for dall-e | reddit.com/r/OpenAI | 2021-10-27
a delightful machine learning tool that allows you to train, test, and use models without writing codeProject mention: Train/fit, test, and use models without writing code | reddit.com/r/ArtificialInteligence | 2021-06-29
Link to the repo: https://github.com/nidhaloff/igel
Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)Project mention: [D] Productionalizing machine learning pipelines for small teams | reddit.com/r/MachineLearning | 2021-08-08
For running experiments, http://polyaxon.com/ is a really good free open-source package that has lots of nice integrations so you can quickly run experiments in k8s but it might be overkill in some cases.
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglementProject mention: Hot take: Female only servers with verification processes are complete bullshit | reddit.com/r/GirlGamers | 2021-10-27
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue TeamsProject mention: [D] Testing a model's robustness to adversarial attacks | reddit.com/r/MachineLearning | 2021-01-30
Depending on what attacks you want I've found both https://github.com/cleverhans-lab/cleverhans and https://github.com/Trusted-AI/adversarial-robustness-toolbox to be useful.
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.Project mention: How to use MuJoCo from Python3 | reddit.com/r/reinforcementlearning | 2021-10-18
🔮 A refreshing functional take on deep learning, compatible with your favorite librariesProject mention: good examples of functional-like python code that one can study? | reddit.com/r/functionalprogramming | 2021-06-29
thinc - defining neural nets in functional way jax, a new deep learning framework puts emphasis on functions rather than tensors, I've tested it for a couple of applications and it's really cool, you can write stuff like you'd write math expressions in papers using numpy. That speeds up development significantly, and makes code much more readable
NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.Project mention: Speech and Language Processing (3rd ed. draft) | news.ycombinator.com | 2021-10-17
They still talk about Hidden Markov Models (HMMs) in quite a bit of detail in the sequence labelling chapter, but you are quite right, Conditional Random Fields (CRFs) and especially neural network based CRFs are in the top rankings when it comes to named entity recognition (NER) and part-of-speech tagging (POS), e.g. see https://github.com/jiesutd/NCRFpp.
What are some of the best open-source Artificial intelligence projects in Python? This list will help you:
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