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[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.
StepCoder: Improve Code Generation with Reinforcement Learning from Compiler Feedback
[CVPR'24 Highlight] The official code and data for paper "EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models"
VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
Self-hosted YouTube downloader (web UI for youtube-dl / yt-dlp)
GraphTranslator:Aligning Graph Model to Large Language Model for Open-ended Tasks
RTP-LLM: Alibaba's high-performance LLM inference engine for diverse applications.
Training LLMs with QLoRA + FSDP
This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"
Creating and analyzing Earth observation data cubes in R
A configuration as code language with rich validation and tooling.
A Large-scale Multimodal Dataset for recommender System
[CVPR 2024] Official implementation of the paper "Visual In-context Learning"
[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
[WWW'2024] "GraphPro: Graph Pre-training and Prompt Learning for Recommendation"
Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah
[WWW'2024] "PromptMM: Multi-Modal Knowledge Distillation for Recommendation with Prompt-Tuning"
[EMNLP'2024] "OpenGraph: Towards Open Graph Foundation Models"
[RelKD'24] Mamba4Rec: Towards Efficient Sequential Recommendation with Selective State Space Models
MindSpore online courses: Step into LLM
"GraphEdit: Large Language Models for Graph Structure Learning"
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything
Multi-domain Recommendation with Adapter Tuning