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Description
Cortex harnesses cutting-edge machine learning technology to effortlessly monitor research interactions and pinpoint research incentives throughout all communication channels. We provide the most efficient and unobtrusive research payment validation services, ensuring your organization remains compliant and effective while utilizing accurate data for informed decision-making. Operating in real time, Cortex automatically gathers, interprets, and securely comprehends all internal and external research interactions within your business's information streams. This innovative system alleviates the pressure of tracking these interactions internally and negates the necessity of depending on and reconciling sell-side data, allowing your investment professionals to concentrate on their core competencies. Ultimately, Cortex empowers your team to operate more efficiently and effectively, transforming how research interactions are managed.
Description
Keepsake is a Python library that is open-source and specifically designed for managing version control in machine learning experiments and models. It allows users to automatically monitor various aspects such as code, hyperparameters, training datasets, model weights, performance metrics, and Python dependencies, ensuring comprehensive documentation and reproducibility of the entire machine learning process. By requiring only minimal code changes, Keepsake easily integrates into existing workflows, permitting users to maintain their usual training routines while it automatically archives code and model weights to storage solutions like Amazon S3 or Google Cloud Storage. This capability simplifies the process of retrieving code and weights from previous checkpoints, which is beneficial for re-training or deploying models. Furthermore, Keepsake is compatible with a range of machine learning frameworks, including TensorFlow, PyTorch, scikit-learn, and XGBoost, enabling efficient saving of files and dictionaries. In addition to these features, it provides tools for experiment comparison, allowing users to assess variations in parameters, metrics, and dependencies across different experiments, enhancing the overall analysis and optimization of machine learning projects. Overall, Keepsake streamlines the experimentation process, making it easier for practitioners to manage and evolve their machine learning workflows effectively.
API Access
Has API
API Access
Has API
Integrations
Amazon S3
Google Cloud Storage
JSON
PyTorch
Python
TensorFlow
scikit-learn
Integrations
Amazon S3
Google Cloud Storage
JSON
PyTorch
Python
TensorFlow
scikit-learn
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
FeedStock
Founded
2015
Country
United Kingdom
Website
feedstock.com/products/cortex/
Vendor Details
Company Name
Replicate
Country
United States
Website
keepsake.ai/
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Product Features
Machine Learning
Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization
Version Control
Branch Creation / Deletion
Centralized Version History
Code Review
Code Version Management
Collaboration Tools
Compare / Merge Branches
Digital Asset / Binary File Storage
Isolated Code Branches
Option to Revert to Previous
Pull Requests
Roles / Permissions