Lists (18)
Stars
HyDE: Precise Zero-Shot Dense Retrieval without Relevance Labels
Lumina-T2X is a unified framework for Text to Any Modality Generation
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
PaL: Program-Aided Language Models (ICML 2023)
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Google Research
GQA-OOD is a new dataset and benchmark for the evaluation of VQA models in OOD (out of distribution) settings.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
WWW'23 Research Paper: TFE-GNN: A Temporal Fusion Encoder Using Graph Neural Networks for Fine-grained Encrypted Traffic Classification
Measuring and Improving the Use of Graph Information in Graph Neural Networks
Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"
Hands-On Graph Neural Networks Using Python, published by Packt
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
LLM training code for Databricks foundation models
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
A Bulletproof Way to Generate Structured JSON from Language Models
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Accessible large language models via k-bit quantization for PyTorch.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search