CortexTheseus
aqueduct
CortexTheseus | aqueduct | |
---|---|---|
3 | 2 | |
114 | 521 | |
0.0% | 0.0% | |
9.8 | 8.7 | |
6 days ago | 11 months ago | |
Go | Go | |
GNU Lesser General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
CortexTheseus
-
New mining possibilities
I have been eyeing https://www.cortexlabs.ai/ - Their reddit isn't active but their Medium/Github is. They just released a new whitepaper.
- A.I. Crypto
-
Join the discussion!
Running a Cortex Node (Cortex Github)
aqueduct
-
Aqueduct: Take Data Science to Production
Hi everyone!
We've been working on making data teams more productive with Aqueduct for over a year, and we're really excited to share what we've been building.
There's a large (and growing!) number of programmers in the world who understand data and can solve business problems but don't want to spend their time wrangling low-level cloud infrastructure to get their work into the cloud. The existing MLOps tools that claim to solve this problem have been built by & for software teams, and they're incredibly complicated.
With Aqueduct, we've built a tool that's designed for data teams and abstracts away the underlying infrastructure. Aqueduct has a simple Python API that allows you to define a workflow as a composition of Python functions. Those workflows can be easily connected to data sources and can be run anywhere from your laptop to a Kubernetes cluster in the cloud. Once a workflow's running, Aqueduct has lightweight hooks to compute metrics and run tests over your pipelines to ensure they're producing high-quality results.
To learn more about what we're building, check out our GitHub repo or join our community Slack:
https://github.com/aqueducthq/aqueduct
What are some alternatives?
bittensor - Internet-scale Neural Networks
llama2.go - LLaMA-2 in native Go
VictoriaMetrics - VictoriaMetrics: fast, cost-effective monitoring solution and time series database
sematic - An open-source ML pipeline development platform
numberlink - Program for generating and solving numberlink / flow free puzzles
fullnamematchscore-go - Generates a match score of two person names from 0-100, where 100 is the highest, on how closely two individual full names match. The scoring is based on a series of tests, algorithms, AI, and an ever-growing body of Machine Learning-based generated knowledge
mllint - `mllint` is a command-line utility to evaluate the technical quality of Python Machine Learning (ML) projects by means of static analysis of the project's repository.
aim - Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
PhotoPrism - AI-Powered Photos App for the Decentralized Web 🌈💎✨
deeplake - Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
olivia - 💁♀️Your new best friend powered by an artificial neural network
metaflow - :rocket: Build and manage real-life ML, AI, and data science projects with ease!