Stars
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
🔊 Text-Prompted Generative Audio Model
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
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 ;)
A game theoretic approach to explain the output of any machine learning model.
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸
Companion webpage to the book "Mathematics For Machine Learning"
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
Practice your pandas skills!
QLoRA: Efficient Finetuning of Quantized LLMs
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
Collection of notebooks about quantitative finance, with interactive python code.
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Bayesian optimization in PyTorch
IPython Parallel: Interactive Parallel Computing in Python
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
Python class that generates pixel art from images
TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
Videos, notes and experiments to understand deep learning
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
An NLP workshop about concrete solutions to real problems
A list of Machine Learning Art Colabs
Bayesian Deep Learning Benchmarks