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📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc.
Reading notes about Multimodal Large Language Models, Large Language Models, and Diffusion Models
[WACV 2024 Survey Paper] Multimodal Large Language Models for Autonomous Driving
🔥🔥🔥 A curated list of papers on LLMs-based multimodal generation (image, video, 3D and audio).
awesome synthetic (text) datasets
A command-line interface to generate textual and conversational datasets with LLMs.
Label, clean and enrich text datasets with LLMs.
Summarize existing representative LLMs text datasets.
High-quality datasets, tools, and concepts for LLM fine-tuning.
Object Detection on Radar sensor and RGB camera images. https://ieeexplore.ieee.org/document/9191046
A Free and Open Source Python Library for Multiobjective Optimization
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
基于卷积神经网络文字语种识别算法 the method based on CNN for script identification
Fast parallel Particle Swarm Optimization package for Python
All Algorithms implemented in Python
A curated list of recent models of text generation and application
Label Studio is a multi-type data labeling and annotation tool with standardized output format
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Evolutionary multi-objective optimization platform
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
A plug-and-play library for parameter-efficient-tuning (Delta Tuning)
A curated list of resources dedicated to scene text localization and recognition
Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]
Vue+Spring boot前后端分离项目（wh-web+wh-server的升级版）