shubham0204

Tutorials: Google Colab Notebooks

• Converting scikit-learn models to ONNX for Android
• Age + Gender Estimation in Android with TensorFlow
• Hyperparameter Optimization Using Keras Tuner API
• Image Colorization With GANs
• Chatbot using Seq2Seq LSTM models.
• [Neural Machine Translation (NMT) - Translating English sentences to French sentences](https://colab.research.google.com/github/shubham0204/Google_Colab_Notebooks/blob/main/Neural_Machine_Tra

shubham0204

• CLIP Inference In Android (text-image search and zero-shot image classification
• Segment Anything Inference On Android With ONNX
• Depth-Anything v1/v2 Inference On Android With ONNX
• On-Device Face Recognition with FaceNet ( GitHub )
• Sentence-Embeddings in Android - all-MiniLM-L2-V6 ( GitHub )
• On-Device Machine Learning In Android: Frameworks and Ecosystem
• [Using C/C++ in Android: A Comprehensiv

vasanthk

System Design Cheatsheet

Picking the right architecture = Picking the right battles + Managing trade-offs

Basic Steps

1. Clarify and agree on the scope of the system

• User cases (description of sequences of events that, taken together, lead to a system doing something useful)
  • Who is going to use it?
  • How are they going to use it?