sofa
NLTK
| sofa | NLTK | |
|---|---|---|
| 4 | 64 | |
| 864 | 13,035 | |
| 2.1% | 0.8% | |
| 9.7 | 8.1 | |
| 4 days ago | 14 days ago | |
| C++ | Python | |
| GNU Lesser General Public License v3.0 only | Apache License 2.0 |
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sofa
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SOFA Simulation
I have explored various resources, including the official Sofa website, SofaPython3 website, and YouTube videos, yet I have not been successful in locating valuable guidance on initiating the learning process for Sofa using Python. I know how to write basic Python, but I find myself perplexed regarding the necessary steps to construct models and execute simulations effectively.
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Python for everyone : Mastering Python The Right Way
SOFA (Simulation Open Framework Architecture )
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Alternatives to Unity3D for simulating 3D environments with realistic physics for robotics and training a reinforcement learning model?
So far I found PyBullet, RobotPy, RobotDK, SOFA, and some others, but I wonder if there is something that is comparable or better than Unity 3D for this specific use case.
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NLTK
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Building a local AI smart Home Assistant
alternatively, could we not simply split by common characters such as newlines and periods, to split it within sentences? it would be fragile with special handling required for numbers with decimal points and probably various other edge cases, though.
there are also Python libraries meant for natural language parsing[0] that could do that task for us. I even see examples on stack overflow[1] that simply split text into sentences.
[0]: https://www.nltk.org/
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Sorry if this is a dumb question but is the main idea behind LLMs to output text based on user input?
Check out https://www.nltk.org/ and work through it, it'll give you a foundational understanding of how all this works, but very basically it's just a fancy auto-complete.
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Best Portfolio Projects for Data Science
NLTK Documentation
- Where to start learning NLP ?
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Is there a programmatic way to check if two strings are paraphrased?
If this is True, then you need also Natural Language Toolkit to process the words.
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[CROSS-POST] What programming language should I learn for corpus linguistics?
In that case, you should definitely have a look at Python's nltk library which stands for Natural Language Toolkit. They have a rich corpus collection for all kinds of specialized things like grammars, taggers, chunkers, etc.
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Transition to ml, starting with LLM
If not, start with Python's Natural Language Toolkit.
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Learning resources for NLP
Try https://www.nltk.org it runs you through the basics. The book is here
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Which programming language should I learn for NLP and computational linguistics?
In terms of programming languages, Python is a great first programming language. the learnpython subreddit has lots of good recommendations for resources to get started. Once you're comfortable with the language, NLTK would be a good place to start, and the docs have heaps of examples. Check it out https://www.nltk.org/
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Python for stock analysis?
The most popular library to do this is NLTK though I believe you can use some of the popular AI API services today as well. Bloomberg launched one.
What are some alternatives?
mujoco - Multi-Joint dynamics with Contact. A general purpose physics simulator.
spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python
box2d-lite - A small 2D physics engine
TextBlob - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation, and more.
LiquidFun - 2D physics engine for games
bert - TensorFlow code and pre-trained models for BERT
qu3e - Lightweight and Simple 3D Open Source Physics Engine in C++
Stanza - Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Bullet - Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.
polyglot - Multilingual text (NLP) processing toolkit
Chipmunk - A fast and lightweight 2D game physics library.
PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)