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Alexey Grigorev

Alexey Grigorev

#2331262
1 follower0 following
✨ 3 day streak
23 Upvotes
Evidently AI
Evidently AI — Open-source evaluations and observability for LLM apps
80
•Open Source•Developer Tools•Artificial Intelligence•
dstack Sky
dstack Sky — Get GPUs at competitive rates from a pool of providers
13
•Open Source•Developer Tools•Artificial Intelligence•
dstack
dstack — Cost-effective LLM development
45
•Open Source•Developer Tools•Artificial Intelligence•
Masthead Data — Know compute cost of every pipeline & model in your BigQuery
77
•Data & Analytics•Data•Data Science•
Orchest 2.0 — Build data pipelines, the easy way
40
•Developer Tools•Data & Analytics•Data•
GitTrends
GitTrends — Find out when you're trending on Github
6
•Open Source•Developer Tools•Tech•
integrate.ai
integrate.ai — Extend your product to train ML models on distributed data
24
•Developer Tools•Artificial Intelligence•Tech•
Deepchecks Testing Package
Deepchecks Testing Package — Open source tool for testing & validating your model & data
104
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By
Deepchecks Monitoring
•Open Source•Developer Tools•
Dynamic Twitter Banner
Dynamic Twitter Banner — Showcase your new Twitter followers with this free tool
43
•Productivity•Social Media•Growth Hacks •
NannyML — OSS Python library for detecting silent ML model failure
73
•Open Source•Artificial Intelligence•GitHub•
Supermeme.ai
Supermeme.ai — AI powered meme generator
123
•Design Tools•Artificial Intelligence•Memes•
Modzy
Modzy — ModelOps platform to run and monitor AI at scale
2
•Api•Developer Tools•Artificial Intelligence•
Hive Index
Hive Index — Find the best communities on the internet
130
•Web App•Productivity•Open Source•
Hypefury
Hypefury — Twitter tool for content creation & audience building
294
•Productivity•Social Network•Marketing•
Whaly — Reporting made easy
77
•Analytics•SaaS•No-Code•
Evidently AI
Evidently AI — Open-source monitoring for machine learning models
118
•Open Source•Analytics•Developer Tools•
Secoda
Secoda — The all in one workspace for data teams
45
•Productivity•User Experience•Analytics•
Lightly
Lightly — Improve your machine learning models by using the right data
35
•Analytics•Software Engineering•Developer Tools•
DVC Studio
DVC Studio — Machine Learning Experiments based on Git
4
•Productivity•Developer Tools•Artificial Intelligence•
ZenML
ZenML — Create reproducible machine learning pipelines
13
•Developer Tools•Artificial Intelligence•GitHub•