Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev. Learn more →
Examples Alternatives
Similar projects and alternatives to examples
-
Pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
-
-
Onboard AI
Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev.
-
Pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
-
-
-
-
-
InfluxDB
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
-
-
-
Apache Spark
Apache Spark - A unified analytics engine for large-scale data processing
-
awesome-teachable-machine
Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps!
-
-
face-api.js
JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
-
-
-
fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
-
-
-
-
Flutter
Flutter makes it easy and fast to build beautiful apps for mobile and beyond
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better examples alternative or higher similarity.
examples reviews and mentions
Posts with mentions or reviews of examples.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-11-06.
-
🔥🚀 Top 10 Open-Source Must-Have Tools for Crafting Your Own Chatbot 🤖💬
#2 TensorFlow
- Are there people out there who still like Sam atlman - AI IS AT DANGER
-
How popular are libraries in each technology
Machine learning is the process of using algorithms and statistical models to enable computers to learn from data. There are many tools and libraries available for machine learning, but the most popular by far is TensorFlow. TensorFlow is an open-source platform for machine learning developed by Google. It has over 176k stars on Github and is used by companies such as Airbnb and Intel.
-
React + Tensorflow.js , a cool recipe for AI powered applications
Tensorflow is Google's "end-to-end machine learning platform". It's a framework to manage the whole lifecycle of a Machine Learning (and AI) project, from data preparation to production deployment. Remember the math stuff we talked about in the last section? Tensorflow manages that in addition to a lot of other stuff. Its core API is written for Python and you have to know your math just a little bit in order to play with it. It's more for deep learning models (neural networks) and has a lot of already implemented "layers" for you to use in your network. You can prepare data (images included with the option of image augmentation for small data sets ... yay! 😃), experiment with different model architectures, tune the model's hyperparameters (a fancy name for model configs), train, validate and test your models and monitor your models in production. It's a great framework, but it is not an easy one to learn, especially if you don't like math that much!
-
List of AI-Models
Click to Learn more...
-
PSA: You don't need fancy stuff to do good work.
Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive documentation and community support, making it easy to learn and apply new techniques without needing specialized training or expensive software licenses.
-
Train a ML model able to identify animal species
!git clone https://github.com/tensorflow/examples
- good computer vision or deep learning projects in github
- Auswertung von Logdaten mittels AI/ML -> Kurs Empfehlung?
-
Sematic + Ray: The Best of Orchestration and Distributed Compute at your Fingertips
Perform distributed Hyperparameter tuning of a TensorFlow natural language model using Ray Tune.
-
A note from our sponsor - Onboard AI
getonboard.dev | 5 Dec 2023
Stats
Basic examples repo stats
137
7,511
0.0
6 days ago
tensorflow/examples is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of examples is Jupyter Notebook.
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com