Stars
A latent text-to-image diffusion model
Google Research
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
This repository contains implementations and illustrative code to accompany DeepMind publications
FinRL®: Financial Reinforcement Learning. 🔥
Kubernetes community content
Understanding Deep Learning - Simon J.D. Prince
Lab Materials for MIT 6.S191: Introduction to Deep Learning
CoreNet: A library for training deep neural networks
Flax is a neural network library for JAX that is designed for flexibility.
NVIDIA Isaac GR00T N1.5 - A Foundation Model for Generalist Robots.
An educational AI robot based on NVIDIA Jetson Nano.
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
Codes/Notebooks for AI Projects
Unified Training of Universal Time Series Forecasting Transformers
A 15TB Collection of Physics Simulation Datasets
Ipython notebooks for math and finance tutorials
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Time-Series-Optimized Transformer for Observability
Write python locally, execute SQL in your data warehouse
Neuromorphic Intermediate Representation reference implementation
An attempt at the Stanford Cars dataset (https://ai.stanford.edu/~jkrause/cars/car_dataset.html). Largely taken from foamliu's code (https://github.com/foamliu/Car-Recognition) modified to require …