Andrew-NG-Notes
fsdl-text-recognizer-2022-labs
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1 | 1 | |
2,266 | 424 | |
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0.0 | 6.3 | |
2 months ago | 4 months ago | |
Jupyter Notebook | Jupyter Notebook | |
- | MIT License |
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Andrew-NG-Notes
fsdl-text-recognizer-2022-labs
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MLops Resources
full-stack-deep-learning
What are some alternatives?
Mathematics-for-Machine-Learning-and-Data-Science-Specialization-Coursera - Mathematics for Machine Learning and Data Science Specialization - Coursera - deeplearning.ai - solutions and notes
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
learnopencv - Learn OpenCV : C++ and Python Examples
gdrl - Grokking Deep Reinforcement Learning
saliency - Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
DeepNeuralNetworksFromScratch - Different kinds of deep neural networks (DNNs) implemented from scratch using Python and NumPy, with a TensorFlow-like object-oriented API.
stock-prediction-deep-neural-learning - Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
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, Gemma, CLIP, ViT, ConvNeXt, Segformer, 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)