zyhzoe (zoeccolor)

zoeccolor

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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.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:8759Issues:0Issues:0

Awesome-Segment-Anything

This repository is for the first comprehensive survey on Meta AI's Segment Anything Model (SAM).

License:MITStargazers:720Issues:0Issues:0

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.

Stargazers:1752Issues:0Issues:0

Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

Stargazers:11029Issues:0Issues:0

xtuner

An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)

Language:PythonLicense:Apache-2.0Stargazers:3520Issues:0Issues:0

llama3

The official Meta Llama 3 GitHub site

Language:PythonLicense:NOASSERTIONStargazers:25308Issues:0Issues:0

Efficient_Foundation_Model_Survey

Survey Paper List - Efficient LLM and Foundation Models

Stargazers:182Issues:0Issues:0

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.

Language:Jupyter NotebookLicense:MITStargazers:25Issues:0Issues:0

iot-hd-reading-group

Collections of paper reviews in SEELab, related to IoT/HD/ML etc.

Stargazers:20Issues:0Issues:0

awesome-segment-anything

Tracking and collecting papers/projects/others related to Segment Anything.

License:MITStargazers:1483Issues:0Issues:0

Awesome-Segment-Anything

A collection of project, papers, and source code for Meta AI's Segment Anything Model (SAM) and related studies.

License:MITStargazers:305Issues:0Issues:0

awesome-active-learning

Everything you need about Active Learning (AL).

Stargazers:767Issues:0Issues:0

Awesome-Video-Instance-Segmentation

Awesome video instance segmentation papers

Stargazers:26Issues:0Issues:0

awesome-ml-model-compression

Awesome machine learning model compression research papers, quantization, tools, and learning material.

License:MITStargazers:460Issues:0Issues:0

Awesome-Federated-Machine-Learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

Stargazers:1678Issues:0Issues:0

xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

Language:PythonLicense:NOASSERTIONStargazers:8173Issues:0Issues:0

ritm_interactive_segmentation

Reviving Iterative Training with Mask Guidance for Interactive Segmentation

Language:PythonLicense:MITStargazers:620Issues:0Issues:0

CORRO

CORRO code

Language:PythonStargazers:32Issues:0Issues:0

data-centric-AI

A curated, but incomplete, list of data-centric AI resources.

Stargazers:1015Issues:0Issues:0

Awesome-Efficient-LLM

A curated list for Efficient Large Language Models

Language:PythonStargazers:1022Issues:0Issues:0

mms

AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving (OSDI 23)

Language:PythonStargazers:71Issues:0Issues:0

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.

License:GPL-3.0Stargazers:2165Issues:0Issues:0

multi-objective-deep-rl

Multi-Objective Deep Reinforcement Learning

Language:LuaStargazers:40Issues:0Issues:0

Byzantine-Federated-RL

code for NeurIPS2021 paper on Federated Reinforcement Learning with Byzantine Resilience

Language:PythonStargazers:80Issues:0Issues:0

MORL

Multi-Objective Reinforcement Learning

Language:PythonStargazers:243Issues:0Issues:0

ekya

Source code and datasets for Ekya, a system for continuous learning on the edge.

Language:Jupyter NotebookStargazers:97Issues:0Issues:0

DynMORL

Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning

Language:PythonStargazers:84Issues:0Issues:0

Meta-Learning-Papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

Stargazers:2607Issues:0Issues:0

awesome-RL-generalization

A list of papers regarding generalization in (deep) reinforcement learning

Stargazers:10Issues:0Issues:0