zyhzoe's starred repositories
segment-anything-2
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Awesome-Segment-Anything
This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
Efficient_Foundation_Model_Survey
Survey Paper List - Efficient LLM and Foundation Models
edge-video-services
Edge Video Services (EVS) is a Microsoft platform for developing video analytics solutions that can be deployed across the edge and the cloud.
iot-hd-reading-group
Collections of paper reviews in SEELab, related to IoT/HD/ML etc.
awesome-segment-anything
Tracking and collecting papers/projects/others related to Segment Anything.
Awesome-Segment-Anything
A collection of project, papers, and source code for Meta AI's Segment Anything Model (SAM) and related studies.
awesome-active-learning
Everything you need about Active Learning (AL).
Awesome-Video-Instance-Segmentation
Awesome video instance segmentation papers
awesome-ml-model-compression
Awesome machine learning model compression research papers, quantization, tools, and learning material.
Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
ritm_interactive_segmentation
Reviving Iterative Training with Mask Guidance for Interactive Segmentation
data-centric-AI
A curated, but incomplete, list of data-centric AI resources.
Awesome-Efficient-LLM
A curated list for Efficient Large Language Models
Awesome-LLM-Inference
📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc.
multi-objective-deep-rl
Multi-Objective Deep Reinforcement Learning
Byzantine-Federated-RL
code for NeurIPS2021 paper on Federated Reinforcement Learning with Byzantine Resilience
Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
awesome-RL-generalization
A list of papers regarding generalization in (deep) reinforcement learning