🥁 Introducing: skops! 🥁
You can now easily host your scikit-learn classification pipelines on Hugging Face Hub.
📦 pip install skops
for 0.1 release, the library includes two main utils 👇🏼
🃏 card: an API that lets you programmatically create interactive model cards
🛠 hub_utils: tools you need to host your model on @huggingface Hub 🤗
We've drafted two example scripts for you to tinker around 😏
See the documentation 📚
https://lnkd.in/ewtM5xYk
See an example repository that leverages skops to the fullest 🙌🏼 https://lnkd.in/eJ-cxPhr
If you find it useful, please show some love to GitHub repository 🌟 github.com/skops-dev/skops feel free to open issues.
You can now easily host your scikit-learn classification pipelines on Hugging Face Hub.
📦 pip install skops
for 0.1 release, the library includes two main utils 👇🏼
🃏 card: an API that lets you programmatically create interactive model cards
🛠 hub_utils: tools you need to host your model on @huggingface Hub 🤗
We've drafted two example scripts for you to tinker around 😏
See the documentation 📚
https://lnkd.in/ewtM5xYk
See an example repository that leverages skops to the fullest 🙌🏼 https://lnkd.in/eJ-cxPhr
If you find it useful, please show some love to GitHub repository 🌟 github.com/skops-dev/skops feel free to open issues.
https://github.com/CYHSM/awesome-neuro-ai-papers. you can download or pull all AI research papers at one place.
GitHub
GitHub - CYHSM/awesome-neuro-ai-papers: Papers from the intersection of deep learning and neuroscience
Papers from the intersection of deep learning and neuroscience - CYHSM/awesome-neuro-ai-papers
DL-GuesS: A Deep Learning and Sentiment Analysis-Based Framework For Cryptocurrency Price Prediction.
Source: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9745117
Source: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9745117
✍️✍️ Microsoft Azure cloud region settles over the desert in Doha, Qatar
✍️✍️ An NHS trust in Liverpool is partnering with Tata Consultancy Services (TCS) to develop an AI chatbot to help tackle patient wait times.
✍️✍️ OpenAI’s GPT-3 is a convincing philosopher
✍️✍️ 93% say ‘responsible AI’ is the foundation of all projects
✍️✍️ NLP Market Size is projected to reach USD 91 Billion by 2030, growing at a CAGR of 27%: Straits Research]
✍️✍️ TikTok adds an AI image generator, but it's no DALL-E
✍️✍️ Hyundai at the end of last week announced plans to invest an initial US$400m in a US-based AI Research Centre to strengthen its robotics technology capabilities.
✍️✍️ New AI tech could help detect leaks in underground carbon storage
✍️✍️ The Tamil Nadu Forest department and the Indian Ministry of Railways have decided to install an Artificial intelligence system in the area to warn about trains when there are elephants attempting to cross the tracks.
✍️✍️UAE has been fertile ground for AI tech - The next big thing in the world.
✍️✍️ Low-code or no-code AI is a big trend in 2022
✍️✍️ Robots can have citizenship. Saudi Arabia has given citizenship to the social humanoid robot "Sophia". She became the first-ever robot to get citizenship in any country in the world.
Inscribed by
Raja at 17/08/22
✍️✍️ An NHS trust in Liverpool is partnering with Tata Consultancy Services (TCS) to develop an AI chatbot to help tackle patient wait times.
✍️✍️ OpenAI’s GPT-3 is a convincing philosopher
✍️✍️ 93% say ‘responsible AI’ is the foundation of all projects
✍️✍️ NLP Market Size is projected to reach USD 91 Billion by 2030, growing at a CAGR of 27%: Straits Research]
✍️✍️ TikTok adds an AI image generator, but it's no DALL-E
✍️✍️ Hyundai at the end of last week announced plans to invest an initial US$400m in a US-based AI Research Centre to strengthen its robotics technology capabilities.
✍️✍️ New AI tech could help detect leaks in underground carbon storage
✍️✍️ The Tamil Nadu Forest department and the Indian Ministry of Railways have decided to install an Artificial intelligence system in the area to warn about trains when there are elephants attempting to cross the tracks.
✍️✍️UAE has been fertile ground for AI tech - The next big thing in the world.
✍️✍️ Low-code or no-code AI is a big trend in 2022
✍️✍️ Robots can have citizenship. Saudi Arabia has given citizenship to the social humanoid robot "Sophia". She became the first-ever robot to get citizenship in any country in the world.
Inscribed by
Raja at 17/08/22
Amazon DocumentDB (with MongoDB compatibility) has added query auditing support for Data Manipulation Language (DML) events. Now, Amazon DocumentDB customers like BBC, Dow Jones, and eHealth, Inc. can use Amazon CloudWatch Logs to analyze, monitor, and archive DML query events, making it even easier to store, query, and index JSON data at scale. Learn more here: https://go.aws/3A6L7UU
Amazon
Amazon DocumentDB (with MongoDB compatibility) now supports DML query auditing with Amazon CloudWatch Logs
EasyMocap is an open-source toolbox for markerless human motion capture and novel view synthesis from RGB videos. In this project, we provide a lot of motion capture demos in different settings.
I came across two websites to improve your programming and interviews - https://cheatography.com & https://bytebytego.com/courses/system-design-interview/design-a-chat-system?fpr=javarevisited
Cheatography
Download Free Cheat Sheets or Create Your Own! - Cheatography.com: Cheat Sheets For Every Occasion
Find thousands of incredible, original programming cheat sheets, all free to download.
Data science rule of thumb: Percentage changes are approximated by the difference in natural logarithms.
>>> x1, x2 = 25.1, 29.7
>>> (x2 - x1) / x1
0.18326693227091623
>>> log(x2) - log(x1)
0.16827919967091542
This is useful for interpreting log plots.
>>> x1, x2 = 25.1, 29.7
>>> (x2 - x1) / x1
0.18326693227091623
>>> log(x2) - log(x1)
0.16827919967091542
This is useful for interpreting log plots.
It works for percentage decreases as well:
>>> x1, x2 = 25.1, 19.9
>>> (x2 - x1) / x1
-0.20717131474103595
>>> log(x2) - log(x1)
-0.23214811440729166
>>> x1, x2 = 25.1, 19.9
>>> (x2 - x1) / x1
-0.20717131474103595
>>> log(x2) - log(x1)
-0.23214811440729166
Xonsh is a Python-powered, cross-platform, Unix-gazing shell language and command prompt. The language is a superset of Python 3.6+ with additional shell primitives that you are used to from Bash and IPython. It works on all major systems including Linux, OSX, and Windows. Xonsh is meant for the daily use of experts and novices
https://xon.sh/
https://xon.sh/
A new feature of DALL·E, which helps users extend their creativity by continuing an image beyond its original borders — adding visual elements in the same style, or taking a story in new directions — simply by using a natural language description. https://lnkd.in/geqZqyej
THE WORLD’S LARGEST SELF-DRIVING DATASET : https://doc.bdd100k.com/download.html
UC Berkeley open-sourced the largest ever self-driving dataset to the AI community in 2018. The dataset called Berkeley DeepDrive 100K (BDD100K) contains over 100,000 video sequences. Each video is 40 seconds long, shot at 30 FPS and 720p. GPS information is also provided, indicating the navigation route taken during driving.
The dataset covers a multitude of different weather and time conditions: sunny, rainy and hazy data captured both during day and at night also gives a well-balanced distribution that helps prevent overfitting.
Over 85,000 pedestrians are also present in the dataset. Therefore, the dataset also offers a reliable dataset for detecting pedestrians on the road/sidewalks. This scale of content available is quite massive too. This is 800 times bigger than Baidu’s ApolloScape dataset. https://www.bdd100k.com/challenges/eccv2022/
UC Berkeley open-sourced the largest ever self-driving dataset to the AI community in 2018. The dataset called Berkeley DeepDrive 100K (BDD100K) contains over 100,000 video sequences. Each video is 40 seconds long, shot at 30 FPS and 720p. GPS information is also provided, indicating the navigation route taken during driving.
The dataset covers a multitude of different weather and time conditions: sunny, rainy and hazy data captured both during day and at night also gives a well-balanced distribution that helps prevent overfitting.
Over 85,000 pedestrians are also present in the dataset. Therefore, the dataset also offers a reliable dataset for detecting pedestrians on the road/sidewalks. This scale of content available is quite massive too. This is 800 times bigger than Baidu’s ApolloScape dataset. https://www.bdd100k.com/challenges/eccv2022/
Bdd100K
ECCV 2022 BDD100K Challenges
We are hosting multi-object tracking (MOT) and segmentation (MOTS) challenges based on BDD100K, the largest open driving video dataset as part of the ECCV 2022 Self-supervised Learning for Next-Generation Industry-level Autonomous Driving Workshop.
Lightly: A python library for self-supervised learning on images
Cool computer vision library for self-supervision and active learning.
Github: https://github.com/lightly-ai/lightly
Docs: https://docs.lightly.ai/
Cool computer vision library for self-supervision and active learning.
Github: https://github.com/lightly-ai/lightly
Docs: https://docs.lightly.ai/
New version of django-upgrade released - for Django 3.2+ https://pypi.org/project/django-upgrade/