BoonDock Tip : { Section - Python}
Do not initialise the empty String with quotes. Try to use 'None' in your projects. It is the best practices though.
sqlConnection=“” ——- Not good practice
sqlConnection=None —- Best practice
Do not initialise the empty String with quotes. Try to use 'None' in your projects. It is the best practices though.
sqlConnection=“” ——- Not good practice
sqlConnection=None —- Best practice
15 Websites To Follow As A Developer
1. Stackoverflow
2. Google
3. YouTube
4. DevDocs. io
5. Github
6. Freecodecamp
7. LeetCode
8. IndieHackers
9. Udemy
10. Hashnode
11. Medium
12. Dev. to
13. W3Schools
14. Codecademy
15. Hacker News
May be you have another list 😇😃
1. Stackoverflow
2. Google
3. YouTube
4. DevDocs. io
5. Github
6. Freecodecamp
7. LeetCode
8. IndieHackers
9. Udemy
10. Hashnode
11. Medium
12. Dev. to
13. W3Schools
14. Codecademy
15. Hacker News
May be you have another list 😇😃
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
• High-performance Deep Learning models for Text2Speech tasks.
◦ Text2Spec models (Tacotron, Tacotron2, Glow-TTS, SpeedySpeech).
◦ Speaker Encoder to compute speaker embeddings efficiently.
◦ Vocoder models (MelGAN, Multiband-MelGAN, GAN-TTS, ParallelWaveGAN, WaveGrad, WaveRNN)
• Fast and efficient model training.
• Detailed training logs on the terminal and Tensorboard.
• Support for Multi-speaker TTS.
• High-performance Deep Learning models for Text2Speech tasks.
◦ Text2Spec models (Tacotron, Tacotron2, Glow-TTS, SpeedySpeech).
◦ Speaker Encoder to compute speaker embeddings efficiently.
◦ Vocoder models (MelGAN, Multiband-MelGAN, GAN-TTS, ParallelWaveGAN, WaveGrad, WaveRNN)
• Fast and efficient model training.
• Detailed training logs on the terminal and Tensorboard.
• Support for Multi-speaker TTS.
https://github.com/TheAlgorithms/Python/blob/master/DIRECTORY.md
One place where you can find hundreds of algorithms.
Even you can find them in another languages as well.
https://github.com/TheAlgorithms
One place where you can find hundreds of algorithms.
Even you can find them in another languages as well.
https://github.com/TheAlgorithms
GitHub
Python/DIRECTORY.md at master · TheAlgorithms/Python
All Algorithms implemented in Python. Contribute to TheAlgorithms/Python development by creating an account on GitHub.
Meet LAVIS - a one-stop library for language-and-vision research and applications!
🔥Github: https://github.com/salesforce/LAVIS
📜Tech Report: arxiv.org/abs/2209.09019
LAVIS features
- Unified and modular interface to access 10+ tasks, 20+ datasets, 30+ pre-trained models!
🔥Github: https://github.com/salesforce/LAVIS
📜Tech Report: arxiv.org/abs/2209.09019
LAVIS features
- Unified and modular interface to access 10+ tasks, 20+ datasets, 30+ pre-trained models!
🦋🦋All tools Data Engineers need! Categorized into cloud native (only available on that platform) and cloud agnostic (use anywhere) platforms & tools on the top. On the left you find categories and subcategories for the tools.
🍀🍀The goal for every engineer is to at least have knowledge of one tool in every category (row).
🐚🐚As example:
- If you are on Azure then learn when and how to use for at least one of the tools in every row of Azure
- Or go fully cloud agnostic and open source. It's your choice.
- You can also combine cloud agnostic with cloud platforms together by replacing the cloud native tools of one row with a cloud agnostic one.
🤷♂️ that’s it man 👨!!
🍀🍀The goal for every engineer is to at least have knowledge of one tool in every category (row).
🐚🐚As example:
- If you are on Azure then learn when and how to use for at least one of the tools in every row of Azure
- Or go fully cloud agnostic and open source. It's your choice.
- You can also combine cloud agnostic with cloud platforms together by replacing the cloud native tools of one row with a cloud agnostic one.
🤷♂️ that’s it man 👨!!
🦋🦋✍️✍️
OpenAI trained and are open-sourcing a neural net called Whisper that approaches human level robustness and accuracy on English speech recognition.
Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web.
https://openai.com/blog/whisper/
Check out above link for paper, code and more details
👽👽
OpenAI trained and are open-sourcing a neural net called Whisper that approaches human level robustness and accuracy on English speech recognition.
Whisper is an automatic speech recognition (ASR) system trained on 680,000 hours of multilingual and multitask supervised data collected from the web.
https://openai.com/blog/whisper/
Check out above link for paper, code and more details
👽👽
✍️✍️What is 𝐂𝐚𝐥𝐢𝐛𝐫𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠?
🍀Calibration is the property that tells us how well the estimated probabilities of a model match the actual probabilities, a.k.a the observed frequency of occurrences.
🍀Calibration can be represented using the Brier score. The Brier score is nothing more than the MSE between the actual and the estimated probabilities.
🍀The two most common methods to address poor calibration is:
🔑platt scaling and
🔑isotonic regression
🍀Calibration is the property that tells us how well the estimated probabilities of a model match the actual probabilities, a.k.a the observed frequency of occurrences.
🍀Calibration can be represented using the Brier score. The Brier score is nothing more than the MSE between the actual and the estimated probabilities.
🍀The two most common methods to address poor calibration is:
🔑platt scaling and
🔑isotonic regression
=======================================
✍️✍️Visual explanations of core machine learning concepts.
=======================================
🍀Nothing can beat the use of infographics and interactivity when explaining some concept,
🍀For Linear Regression
https://mlu-explain.github.io/linear-regression/
🍀For all,
https://mlu-explain.github.io/
✍️✍️Visual explanations of core machine learning concepts.
=======================================
🍀Nothing can beat the use of infographics and interactivity when explaining some concept,
🍀For Linear Regression
https://mlu-explain.github.io/linear-regression/
🍀For all,
https://mlu-explain.github.io/
This media is not supported in your browser
VIEW IN TELEGRAM
🫥🫥FLAG: Flow-based 3D Avatar Generation from Sparse Observations
🔑Paper :
https://microsoft.github.io/flag/files/paper.pdf
🔑Link :
https://www.microsoft.com/en-us/research/publication/flag-flow-based-3d-avatar-generation-from-sparse-observations/
🔑Paper :
https://microsoft.github.io/flag/files/paper.pdf
🔑Link :
https://www.microsoft.com/en-us/research/publication/flag-flow-based-3d-avatar-generation-from-sparse-observations/
🧬 The data structure for unstructured multimodal data · Neural Search · Vector Search · Document Store
For doc
https://docarray.jina.ai/
For GitHub
https://github.com/jina-ai/docarray
For doc
https://docarray.jina.ai/
For GitHub
https://github.com/jina-ai/docarray
Transformers in Time Series: A Survey
A curated list of awesome resources (papers, code, data) on Transformers in Time Series categorized by tasks, including:
• Forecasting
• Anomaly detection
• Classification
Transformers capture long-range dependencies and interactions.
abs: https://arxiv.org/abs/2202.07125
pdf: https://arxiv.org/pdf/2202.07125.pdf
Awesome list repo: https://github.com/qingsongedu/time-series-transformers-review
A curated list of awesome resources (papers, code, data) on Transformers in Time Series categorized by tasks, including:
• Forecasting
• Anomaly detection
• Classification
Transformers capture long-range dependencies and interactions.
abs: https://arxiv.org/abs/2202.07125
pdf: https://arxiv.org/pdf/2202.07125.pdf
Awesome list repo: https://github.com/qingsongedu/time-series-transformers-review
googlefinance
Python module to get stock data from Google Finance API. This module provides no delay, real time stock data in NYSE & NASDAQ.
$pip install googlefinance
https://github.com/hongtaocai/googlefinance
Python module to get stock data from Google Finance API. This module provides no delay, real time stock data in NYSE & NASDAQ.
$pip install googlefinance
https://github.com/hongtaocai/googlefinance
GitHub
GitHub - hongtaocai/googlefinance: Python module to get real-time stock data from Google Finance API
Python module to get real-time stock data from Google Finance API - hongtaocai/googlefinance
Monday, 26 September 2022
Latest AI Curated Track
✍️✍️A third of scientists working on AI say it could cause global disaster. A survey covering the opinions of 327 researchers who had recently co-authored papers on AI research in natural language processing.
✍️✍️Tesla’s AI Day 2022 is scheduled for September 30 in Palo Alto, California.
✍️✍️AI will help phone photos surpass the DSLR, says Qualcomm
✍️✍️Over the past few weeks, researchers at Google have demoed an AI system, PaLI, that can perform many tasks in over 100 languages
✍️✍️A Berlin-based group launched a project called Source+ that's designed as a way of allowing artists, including visual artists, musicians and writers, to opt into and out of allowing their work being used as training data for AI.
✍️✍️According to International Data Corp, China will invest US$26.7 billion in artificial intelligence in 2026. With regards A total of 45,000 AI-related patent applications were filed in Shanghai
✍️✍️Saudi Arabia focuses on AI-driven economy, considers data the new oil: SDAIA
✍️✍️An artist based in New York City has been granted the first known registered copyright for artwork made using latent diffusion AI.
✍️✍️Salesforce AI Open-Sources ‘LAVIS,’ A Deep Learning Library For Language-Vision Research/Applications.
✍️✍️Harvard celebrated the launch of the Kempner Institute for the Study of Natural and Artificial Intelligence on Thursday
✍️✍️Cleareye AI Announces Strategic Alliance with J.P. Morgan
✍️✍️AI proves to be more accurate in diagnosing cardiac function than sonographers
✍️✍️Amazon SageMaker Provides New Built-in TensorFlow Image Classification Algorithms available in tensor flow hub.
✍️✍️ Google today released TensorFlow Graph Neural Networks (TF-GNN) in alpha, a library designed to make it easier to work with graph structured data using TensorFlow, its machine learning framework.
Inscribed by,
Raja
Latest AI Curated Track
✍️✍️A third of scientists working on AI say it could cause global disaster. A survey covering the opinions of 327 researchers who had recently co-authored papers on AI research in natural language processing.
✍️✍️Tesla’s AI Day 2022 is scheduled for September 30 in Palo Alto, California.
✍️✍️AI will help phone photos surpass the DSLR, says Qualcomm
✍️✍️Over the past few weeks, researchers at Google have demoed an AI system, PaLI, that can perform many tasks in over 100 languages
✍️✍️A Berlin-based group launched a project called Source+ that's designed as a way of allowing artists, including visual artists, musicians and writers, to opt into and out of allowing their work being used as training data for AI.
✍️✍️According to International Data Corp, China will invest US$26.7 billion in artificial intelligence in 2026. With regards A total of 45,000 AI-related patent applications were filed in Shanghai
✍️✍️Saudi Arabia focuses on AI-driven economy, considers data the new oil: SDAIA
✍️✍️An artist based in New York City has been granted the first known registered copyright for artwork made using latent diffusion AI.
✍️✍️Salesforce AI Open-Sources ‘LAVIS,’ A Deep Learning Library For Language-Vision Research/Applications.
✍️✍️Harvard celebrated the launch of the Kempner Institute for the Study of Natural and Artificial Intelligence on Thursday
✍️✍️Cleareye AI Announces Strategic Alliance with J.P. Morgan
✍️✍️AI proves to be more accurate in diagnosing cardiac function than sonographers
✍️✍️Amazon SageMaker Provides New Built-in TensorFlow Image Classification Algorithms available in tensor flow hub.
✍️✍️ Google today released TensorFlow Graph Neural Networks (TF-GNN) in alpha, a library designed to make it easier to work with graph structured data using TensorFlow, its machine learning framework.
Inscribed by,
Raja