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examples
- There is framework for everything.
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looking from ML/Computer Vision mentor
Depending on the platform you're working with (if it isn't just directly in Python) we have samples for Android, iOS, and the Raspberry Pi here: https://github.com/tensorflow/examples/tree/master/lite/examples/object_detection
- I need help with my school project
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How to convert Speech-to-Text with Python?
DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier.
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[D] What are the necessary python framework(s) to learn to become an AI/ML dev? A.K.A Complete Roadmap.
Deep learning: tensorflow, pytorch
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How to use TensorFlow with Redpanda for real-time machine learning
According to TensorFlow's website:
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What are some unique things CS folks can do to make money in between jobs?
ML: https://www.tensorflow.org/ has some great tutorial stuff. If you need to learn about the basics of how NN even works then https://youtu.be/aircAruvnKk
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Unlock the power of Python's libraries
TensorFlow
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Python in Action: Machine Learning
6. TensorFlow is an open-source machine learning platform. In addition to providing robust libraries for machine learning in Python, it includes a range of tools and user resources that facilitate highly portable machine learning models.
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SWAHILI TEXT CLASSIFICATION USING TRANSFORMERS
Let's dive into the main topic of this article, we are going to train a transformer model for Swahili news classification, Since transformers are large to make the task simple we need to select a wrapper to work with, if you are good with PyTorch you can use PyTorch Lightning a wrapper for high-performance AI research, to wrap the transformers but today lets go with ktrain from Tensorflow Python Library.
What are some alternatives?
cppflow - Run TensorFlow models in C++ without installation and without Bazel
mlpack - mlpack: a scalable C++ machine learning library --
Selenium WebDriver - A browser automation framework and ecosystem.
face-api.js - JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
awesome-teachable-machine - Useful resources for creating projects with Teachable Machine models + curated list of already built Awesome Apps!
darknet - YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )
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
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
OpenCV - Open Source Computer Vision Library
ROS - Core ROS packages
tensorflow - An Open Source Machine Learning Framework for Everyone
Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing