haoyuzhang89's starred repositories

training-data-analyst

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

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pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

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large-language-models

Notebooks for Large Language Models (LLMs) Specialization

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Top2Vec

Top2Vec learns jointly embedded topic, document and word vectors.

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MachineLearningNotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

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Deep-Learning-with-PyTorch-Lightning

Getting Started with PyTorch Lightning, Published by Packt

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hierarchical-categories-loss-tensorflow

A loss function for categories with a hierarchical structure.

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newspaper

newspaper3k is a news, full-text, and article metadata extraction in Python 3. Advanced docs:

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candlestick-screener

web-based technical screener for candlestick patterns using Python and Flask

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Crypto_Scanner

A web app to scan crypto markets based on candlestick pattern recognition from "Japanese Candlestick Charting Techniques: A Contemporary Guide to the Ancient Investment Techniques of the Far East"

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python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

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Automated-trading

Crypto trading assistant that uses computer vision and NLP to help investors incorporate alternative data into the pattern recognition process

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algorithmic-trading-python

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

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qfin

Books for Quant Finance Interviews

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calm-notebooks

notebooks that are used at calmcode.io

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machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

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transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

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bert

TensorFlow code and pre-trained models for BERT

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