Skeleton Code for Data Cleaning 🧹
The Factory Method Pattern is one of the most useful design patterns when it comes to data cleaning, feature engineering, and the like.
In most cases, you will have a bunch of feature engineering to do and create functions for each step. Instead of listing them out and running them, you could add them together in a class and interface with the class instead.
The Factory Method Pattern is one of the most useful design patterns when it comes to data cleaning, feature engineering, and the like.
In most cases, you will have a bunch of feature engineering to do and create functions for each step. Instead of listing them out and running them, you could add them together in a class and interface with the class instead.
🔑🫥 From 11th October, Amazon EC2 offers an automated connection set-up solution between EC2 instance and RDS Database.
If done manually, establishing a connection between your application and database requires tasks such as setting up a VPC, security groups, and ingress/egress rules
Link : https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-ec2-automated-connection-solution-ec2-instance-rds-database/
If done manually, establishing a connection between your application and database requires tasks such as setting up a VPC, security groups, and ingress/egress rules
Link : https://aws.amazon.com/about-aws/whats-new/2022/10/amazon-ec2-automated-connection-solution-ec2-instance-rds-database/
IDA LIB (Image Data Augmentation Library) is a Python library to optimize the task of Image Data Augmentation. This tool allows you to convert your input data into a larger and more diverse one in an efficient, fast and easy way.
Ida Lib allows a wide variety of operations to be performed in order to provide the greatest possible diversity to the input dataset.
The library is optimized to perform operations in the most efficient way possible, thus reducing the overload on other processes (such as the training process of a neural network). In addition, it allows the joint transformation of different types and combinations of data types in a flexible and correct way, including the processing of:
• Images
• Point's coordinates
• Masks
• Segmentation maps
• Heatmaps
Ida Lib allows a wide variety of operations to be performed in order to provide the greatest possible diversity to the input dataset.
The library is optimized to perform operations in the most efficient way possible, thus reducing the overload on other processes (such as the training process of a neural network). In addition, it allows the joint transformation of different types and combinations of data types in a flexible and correct way, including the processing of:
• Images
• Point's coordinates
• Masks
• Segmentation maps
• Heatmaps
*** Today announced Amazon Neptune Serverless, a new serverless option for Amazon Neptune that automatically scales to support unpredictable and business-critical graph database workloads. It leads to saving up to 90% compared to the cost of provisioning for peak capacity.
* AI NLP - MLOps
— Open-source framework for data-centric NLP
— Data Labeling + Data Curation + Inference Store
— Designed for MLOps & Feedback Loops
New website: https://www.argilla.io/
New docs: https://docs.argilla.io/
— Open-source framework for data-centric NLP
— Data Labeling + Data Curation + Inference Store
— Designed for MLOps & Feedback Loops
New website: https://www.argilla.io/
New docs: https://docs.argilla.io/
The registration deadline is Oct 31, 2022.
https://opencv.org/core-opencv/
If you want to register for the competition, email competition@opencv.org.
The email must include a PDF attachment.
1. Problem statement
2. Brief solution using OpenCV.
3. Team’s name and capability.
A sample PDF is shared on the link above.
https://opencv.org/core-opencv/
If you want to register for the competition, email competition@opencv.org.
The email must include a PDF attachment.
1. Problem statement
2. Brief solution using OpenCV.
3. Team’s name and capability.
A sample PDF is shared on the link above.
👀👀👀No more office 365 …
Office is becoming Microsoft 365
Boost productivity with Microsoft Teams, Word, Excel, PowerPoint, and more—all in one place.
Microsoft 365 has many great AI powered features
The new Microsoft 365 app is coming soon
More : https://www.microsoft.com/en/microsoft-365
Office is becoming Microsoft 365
Boost productivity with Microsoft Teams, Word, Excel, PowerPoint, and more—all in one place.
Microsoft 365 has many great AI powered features
The new Microsoft 365 app is coming soon
More : https://www.microsoft.com/en/microsoft-365
Microsoft Azure recently announced the public preview of registries in Azure Machine Learning. Registries in Azure Machine Learning are organization wide repositories of machine learning assets such as models, environments, and components. Registries provide a central platform for cataloging and operationalizing machine learning models across various personas, teams and environments involved in the machine learning lifecycle.
https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/announcing-registries-in-azure-machine-learning-to/ba-p/3649242
https://techcommunity.microsoft.com/t5/ai-machine-learning-blog/announcing-registries-in-azure-machine-learning-to/ba-p/3649242
😊🏀 Introducing Galactica. A large language model for science.
Can summarize academic literature, solve math problems, generate Wiki articles, write scientific code, annotate molecules and proteins, and more.
Explore and get weights: http://galactica.org
Can summarize academic literature, solve math problems, generate Wiki articles, write scientific code, annotate molecules and proteins, and more.
Explore and get weights: http://galactica.org
Hi,
I am not sure about how many of you familiar with mlflow which is opensource platform for MLOps.
On 15th November - new version 2.0 was released which has great features. Check in their official website
13 million monthly downloads, has become the standard platform for end-to-end MLOps
They new introduced new feature so called it as MLFlow Recipes (formerly MLFlow Pipelines )
Inscribed by
Raja
I am not sure about how many of you familiar with mlflow which is opensource platform for MLOps.
On 15th November - new version 2.0 was released which has great features. Check in their official website
13 million monthly downloads, has become the standard platform for end-to-end MLOps
They new introduced new feature so called it as MLFlow Recipes (formerly MLFlow Pipelines )
Inscribed by
Raja
✍️🍀🔅Today Pytorch releasing TorchMultimodal, a new library containing models, building blocks and end to end example scripts for multimodal tasks.
FLAVA, an image text foundation model in TorchMultimodal, scales from 350M to 10B parameters using FSDP wrapping techniques.
Read more on PyTorch blog: https://bit.ly/3AAL0ka
With TorchMultimodal, Aim to make it easy for researchers to innovate and incorporate the latest trends in AI research such as multi-task learning and scaling model training through detailed examples and tutorials.
FLAVA, an image text foundation model in TorchMultimodal, scales from 350M to 10B parameters using FSDP wrapping techniques.
Read more on PyTorch blog: https://bit.ly/3AAL0ka
With TorchMultimodal, Aim to make it easy for researchers to innovate and incorporate the latest trends in AI research such as multi-task learning and scaling model training through detailed examples and tutorials.
https://www.aljazeera.com/wc2022experience/. You can also practice building the models using the data sets from Kaggle. This is for your knowledge only.