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Python Data Science Handbook: full text in Jupyter Notebooks
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Instruct-tune LLaMA on consumer hardware
TensorFlow Tutorials with YouTube Videos
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
From the basics to slightly more interesting applications of Tensorflow
Plain python implementations of basic machine learning algorithms
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
Datasets, tools, and benchmarks for representation learning of code.
Materials for my scikit-learn tutorial
Large Language Models (LLMs) tutorials & sample scripts, ft. langchain, openai, llamaindex, gpt, chromadb & pinecone
Clinical Knowledge Graph (CKG) is a platform with twofold objective: 1) build a graph database with experimental data and data imported from diverse biomedical databases 2) automate knowledge disco…
Reference mapping for single-cell genomics
GCP for Bioinformatics Researchers
Python computations in science and engineering
sergeyf / SmallDataBenchmarks
Forked from lpfgarcia/ucippSmall Dataset Benchmarks on the Dataset of Datasets UCI++
Public data for the book Python for Bioinformatics
Manager for multi-container computing environments
Codes and Data for FFPEsig manuscript
Setton, Hadi, Choo et al Nature 2023