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🦜🔗 Build context-aware reasoning applications
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
A latent text-to-image diffusion model
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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.
Natural Language Processing Tutorial for Deep Learning Researchers
llama3 implementation one matrix multiplication at a time
Neural Networks: Zero to Hero
The "Python Machine Learning (1st edition)" book code repository and info resource
This repository contains the Hugging Face Agents Course.
Public facing notes page
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
LAVIS - A One-stop Library for Language-Vision Intelligence
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Build your neural network easy and fast, 莫烦Python中文教学
A series of large language models trained from scratch by developers @01-ai
Deep Learning Specialization by Andrew Ng on Coursera.
A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…
Overview and tutorial of the LangChain Library
本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/
Flax is a neural network library for JAX that is designed for flexibility.
The Udacity open source self-driving car project
Simple tutorials using Google's TensorFlow Framework