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Lecture notes and code for the course PHYS6350 Computational Physics at the University of Houston
Part of my daily plan for studying Python.
📖 Generate markdown API documentation from Google-style Python docstring. The lazy alternative to Sphinx.
🛠 All-in-one web-based IDE specialized for machine learning and data science.
🧰 Multi-user development platform for machine learning teams. Simple to setup within minutes.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.
🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Faker is a Python package that generates fake data for you.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Everything you need to know to get the job.
💯 Curated coding interview preparation materials for busy software engineers
📚A repository that contains all the Data Structures and Algorithms concepts and solutions to various problems in Python3 stored in a structured manner.👨💻🎯
All Algorithms implemented in Python
A complete computer science study plan to become a software engineer.