#
Starred repositories
142
stars
written in Jupyter Notebook
Clear filter
🦜🔗 Build context-aware reasoning applications
Python Data Science Handbook: full text in Jupyter Notebooks
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
🔊 Text-Prompted Generative Audio Model
Google Research
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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 ;)
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A game theoretic approach to explain the output of any machine learning model.
The fastai book, published as Jupyter Notebooks
A guidance language for controlling large language models.
Instruct-tune LLaMA on consumer hardware
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This repository contains the source code for the paper First Order Motion Model for Image Animation
Natural Language Processing Tutorial for Deep Learning Researchers
Code for Machine Learning for Algorithmic Trading, 2nd edition.
PRML algorithms implemented in Python
High-Resolution Image Synthesis with Latent Diffusion Models
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
FinRL: Financial Reinforcement Learning. 🔥
LAVIS - A One-stop Library for Language-Vision Intelligence
Official inference library for Mistral models
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
An open-source, low-code machine learning library in Python
Automatic extraction of relevant features from time series:
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
