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21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
🔊 Text-Prompted Generative Audio Model
A game theoretic approach to explain the output of any machine learning model.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Companion webpage to the book "Mathematics For Machine Learning"
Neural Networks: Zero to Hero
TensorFlow Tutorials with YouTube Videos
CoreNet: A library for training deep neural networks
Efficient Image Captioning code in Torch, runs on GPU
Content for Udacity's Machine Learning curriculum
Jupyter notebooks from the scikit-learn video series
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Text and code for the second edition of Think Bayes, by Allen Downey.
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
Dual LSTM Encoder for Dialog Response Generation
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
PySpark-Tutorial provides basic algorithms using PySpark
A deep Q learning demonstration using Google Tensorflow
General Assembly's Data Science course in Washington, DC
Python library for Multi-Armed Bandits