ILearnDeepLearning.py
Andrew-NG-Notes
ILearnDeepLearning.py | Andrew-NG-Notes | |
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1 | 1 | |
1,312 | 2,248 | |
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2.6 | 0.0 | |
5 months ago | about 2 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | - |
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ILearnDeepLearning.py
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Use YOLOv5 tensorflow.js models to speed up annotation
makesense.ia is certainly the largest one. I just recently started https://github.com/SkalskiP/yolov5js with the aim to make it much easier for frontend developers without computer vision background to use object detection in their projects. Apart from that, I have https://github.com/SkalskiP/ILearnDeepLearning.py which is a repository containing examples related to my blog posts on Medium https://medium.com/@piotr.skalski92.
Andrew-NG-Notes
What are some alternatives?
yolov5js - Effortless YOLOv5 javascript deployment
Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera - Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
gdrl - Grokking Deep Reinforcement Learning
fsdl-text-recognizer-2022-labs - Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
DeepNeuralNetworksFromScratch - Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API.
strategy-ml-nn - This example shows how to use neural networks for writing a trading system on stocks.
embedml - pytorch like machine learning framework from scratch
Note - Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, CLIP, ViT, ConvNeXt, SwiftFormer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
linear-regression-from-scratch - A data science project for part II physics project E (surveying using stars)