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🦜🔗 Build context-aware reasoning applications
A latent text-to-image diffusion model
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
12 Weeks, 24 Lessons, AI for All!
Google Research
10 Weeks, 20 Lessons, Data Science for All!
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 ;)
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
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.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Instruct-tune LLaMA on consumer hardware
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
📡 Simple and ready-to-use tutorials for TensorFlow
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。
StableLM: Stability AI Language Models
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…
深度学习入门教程, 优秀文章, Deep Learning Tutorial
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Natural Language Processing Tutorial for Deep Learning Researchers
《李宏毅深度学习教程》（李宏毅老师推荐👍，苹果书🍎），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
llama3 implementation one matrix multiplication at a time
Code for Machine Learning for Algorithmic Trading, 2nd edition.
This repository contains implementations and illustrative code to accompany DeepMind publications