Stars
YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]
High-speed download of LLaMA, Facebook's 65B parameter GPT model
ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Automatic architecture search and hyperparameter optimization for PyTorch
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Python Implementation of Karel for CS106A at Stanford
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
Public repo for DeepLearning.AI MLEP Specialization
A latent text-to-image diffusion model
🤖 PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Framework for autonomous vehicle risk assessment
Jupyter notebooks associated with the Algorithms for Optimization textbook
Visually Explore the Stanford Question Answering Dataset
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
A Simulation Environment to train Robots in Large Realistic Interactive Scenes
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space