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Ai Alternatives
Similar projects and alternatives to ai based on common topics and language
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quickai
QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
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Scout Monitoring
Free Django app performance insights with Scout Monitoring. Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
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Note
Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow. (by NoteDance)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better ai alternative or higher similarity.
ai discussion
ai reviews and mentions
Posts with mentions or reviews of ai.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-09-11.
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Made the YouTube Series Implementing ML Models Using NumPy
GitHub (for model impls and other series): https://github.com/oniani/ai
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[D] What advanced models would you like to see implemented from scratch?
All of the videos are and will be available on my YouTube channel. Implementations are and will be in this GitHub repo.
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[N] I Have Released the YouTube Series Discussing and Implementing Activation Functions
GitHub: https://github.com/oniani/ai
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Implementing Logistic Regression from Scratch
Link to the YouTube video: https://www.youtube.com/watch?v=YDa3rX9yLCE Link to the repo containing the code: https://github.com/oniani/ai
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[N] AI/ML Model API Design, Numerical Stability, and More Models from Scratch! (stylepoint)
Repository for the AI/ML series - oniani/ai.
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Implementing Machine Learning Models From Scratch (stylepoint)
Thanks! One thing to note about that implementation is that we could have passed features and labels directly to the fit method. This would avoid unnecessary data copying (i.e., storing data inside the LinearRegression class). I have already updated the GitHub codebase.
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A note from our sponsor - SaaSHub
www.saashub.com | 11 Jun 2024
Stats
Basic ai repo stats
6
19
3.5
2 months ago
oniani/ai is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of ai is Python.
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