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course_genai_llm

coursera_ai_for_medicine

coursera_deep_learning_course_andrewng

This is my repo for the notebooks from DeepAI classes, and notes from @Wan Zhen and @TessFerrandez

coursera_machine_learning_andrew

coursera_natural_language_processing

coursera_nn_for_ml_hinton

The assignments for the Neural Networks for Machine Learning from Prof. Hinton

coursera_reinforcement_learning_alberta

The Coursera RL series from University of Alberta - Alberta Machine Intelligence Institute.

coursera_tensorflow_in_practice

This repo contains the NB from TF in practice offered by Deeplearning.ai

openai_gpts_assistantapi_examples

Welcome to the repository showcasing examples utilizing OpenAI tools, such as GPT, assistant API (retrieval, function calling to external API). I strongly recommend running through the provided sample code and viewing the referenced instructional videos for a comprehensive understanding.

random_stuff

sharing_isl_python

An Introduction to Statistical Learning with Applications in PYTHON

work_amazon-sagemaker-examples

Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker

work_basic_machine_learning_sharing

This is dedicated to make some contribution to fill in the gap among theorists, data analysts and general algorithm users. If you have any comments on the topics or find any mistakes, shoot me an email. I plan to cover each topic with a brief theoretical introduction, matlab code with deep explanation of the input and output and possible examples.

work_dapi_image_feature_extraction

The algorithm uses a DAPI image the input and through image process to output several image features (cell size, cell ratio, cell orientation, oocyte size, follicle cell distribution, blob-like chromosomes and centripetal cell migration).

work_ensemble_forecast_methods

work_mesh_regularization

work_text_classification

all kinds of text classificaiton models and more with deep learning