Showing 41-60 of 79 projects
A PyTorch-based framework for reproducible deep learning studies with 26 knowledge distillation methods.
A high-performance text-to-3D generation model for building immersive 3D experiences with AI tools.
A powerful benchmark for Monte Carlo Tree Search in sequential decision-making scenarios.
A Python library for semantic segmentation using a novel masking-based approach.
PointCNN: A deep learning model for point cloud processing and feature extraction.
WebThinker is a powerful framework for building large language models with deep research capabilities.
A PyTorch-based library for semi-supervised learning in computer vision and deep learning.
A gym for reinforcement learning with verifiable rewards, focusing on reasoning and language models.
An efficient diffusion model for image super-resolution, with applications in AI-powered image processing.
Official codebase for OMG-LLaVA and OMG-Seg, state-of-the-art computer vision models presented at CVPR-24 and NeurIPS-24.
A dataset of mathematical reasoning problems for evaluating AI systems.
Differentiable data augmentation techniques for efficient training of generative adversarial networks (GANs).
A high-performance image synthesis model with improved distribution matching distillation.
A library for few-shot learning using prototypical networks, based on a NeurIPS 2017 paper.
An open-source 3D generation model that uses Spatial Sparse Attention for efficient and scalable 3D creation.
A high-capacity image restoration model focused on privacy-safe dataset curation for AI-powered tooling.
A Python library that speeds up inference for large language models by up to 10x with dynamic sparse attention
Automated Deep Learning without any human intervention, the first solution for the AutoDL challenge@NeurIPS.
A redundancy-aware KV cache compression library for improving reasoning model performance.
Official code for an open-source library for scaling up expressive human pose and shape estimation using AI.
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