#python#asr#deeplearning#generative_ai#large_language_models#machine_translation#multimodal#neural_networks#speaker_diariazation#speaker_recognition#speech_synthesis#speech_translation#tts
NVIDIA NeMo is a powerful, easy-to-use platform for building, customizing, and deploying generative AI models like large language models (LLMs), vision language models, and speech AI. It lets you quickly train and fine-tune models using pre-built code and checkpoints, supports the latest model architectures, and works on cloud, data center, or edge environments. NeMo 2.0 is even more flexible and scalable, with Python-based configuration and modular design, making it simple to experiment and scale up. The main benefit is that you can create advanced AI applications faster, with less effort, and at lower cost, while getting high performance and easy deployment options[1][2][3].
https://github.com/NVIDIA/NeMo
http://www.kdnuggets.com/2017/09/essential-data-science-machine-learning-deep-learning-cheat-sheets.html
#Cheat_Sheet, #Data_Science, #Deep_Learning, #Machine_Learning, #Neural_Networks, #Probability, #Python, R, #SQL, #Statistics
This collection of data science cheat sheets is not a cheat sheet dump, but a curated list of reference materials spanning a number of disciplines and tools
http://codeinpython.com/tutorials/deep-learning-tensorflow-keras-pytorch/?nonamp=1
Deep Learning #Tensorflow vs #Keras vs #PyTorch
#Deep_learning is the application of artificial #neural_networks (ANNs) to learn tasks. These tasks contain more than one hidden layer. Deep learning is part of a broader family of #machine_learning. Machine learning itself is a part of #Artificial_Intelligence(#AI).
http://jamilgafur.com/category/research/machine-learning/
#machine_learning
#Audio Classification
U-net for #Image segmentation
#Blockchain Essentials
Convolutional #Neural_Networks
Creating a Deep Neural Network with #Tensorflow
#Deep_Learning with Tensorflow- #Certificate
anx-reader
Anx Reader is an advanced e-reader designed for book lovers, providing intelligent and focused reading.
It supports various #ebook formats, including EPUB, MOBI, AZW3, FB2, TXT, and PDF, and offers powerful AI features such as shelf organization by progress and tone, mind map generation for deep understanding, a built-in dictionary and translator, perspective analysis, and summary generation. #TTS
The program offers cross-platform syncing across Android, iOS, macOS, and Windows devices, allowing you to sync books, notes, and reading progress via WebDAV.
Additional features include customizable reading settings (font size and style, line spacing, themes), a workspace for notes with export options, and reading stats tracking with habit visualization.
Lang: Dart
https://github.com/Anxcye/anx-reader
Via @open_source_friend
Version 3.10 of the legendary programming language is now here: https://www.python.org/downloads/release/python-3100
No rush to update, though. #Python
#Python is the main language of data science, per this analysis on 10M Jupyter Notebooks: https://blog.jetbrains.com/datalore/2020/12/17/we-downloaded-10-000-000-jupyter-notebooks-from-github-this-is-what-we-learned/
https://simpleisbetterthancomplex.com/2015/11/23/small-open-source-django-projects-to-get-started.html
Small Open-Source Django Projects to Get Started
Learning #Django and #Python can be very fun. I personally love programming with Python and for the most part, work with the Django framework. But in the beginning some stuff can be confusing, especially if you are coming from a Java or C♯ background, like me.
https://www.infoworld.com/article/3209651/python/how-to-convert-python-to-javascript-and-back-again.html
How to convert #Python to #JavaScript (and back again)
Love Python? JavaScript, not so much? Here are four tools that turn Python to JavaScript for use in web applications
Read Aloud
Text to Speech Voice Reader extension for your browser
https://github.com/ken107/read-aloud
Firefox: https://addons.mozilla.org/en-US/firefox/addon/read-aloud/
Chromium: https://chrome.google.com/webstore/detail/read-aloud-a-text-to-spee/hdhinadidafjejdhmfkjgnolgimiaplp
#readaloud#tts#browser
https://docs.python.org/3.6/c-api/index.html
This manual documents the API used by C and C++ programmers who want to write extension modules or embed #Python. It is a companion to Extending and Embedding the Python Interpreter, which describes the general principles of extension writing but does not document the #API functions in detail.