Stars
🦜🔗 Build context-aware reasoning applications
A latent text-to-image diffusion model
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
🔊 Text-Prompted Generative Audio Model
A programming framework for agentic AI 🤖
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
The fastai book, published as Jupyter Notebooks
Learn OpenCV : C++ and Python Examples
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A guidance language for controlling large language models.
StableLM: Stability AI Language Models
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
Public facing notes page
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
FinRL: Financial Reinforcement Learning. 🔥
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
A series of large language models trained from scratch by developers @01-ai
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Python training for business analysts and traders
Simple tutorials using Google's TensorFlow Framework
A course in reinforcement learning in the wild
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Collection of notebooks about quantitative finance, with interactive python code.
Repo for the Deep Reinforcement Learning Nanodegree program
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.