justmakingaworld

pytorch-center-loss

Pytorch implementation of Center Loss

swift

ms-swift: Use PEFT or Full-parameter to finetune 300+ LLMs or 50+ MLLMs. (Qwen2, GLM4v, Internlm2.5, Yi, Llama3.1, Llava-Video, Internvl2, MiniCPM-V, Deepseek, Baichuan2, Gemma2, Phi3-Vision, ...)

Awesome-Backbones

Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

LLaMA-Factory

A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

Awesome-Open-Vocabulary

(TPAMI 2024) A Survey on Open Vocabulary Learning

Awesome-Open-Vocabulary-Object-Detection

A curated list of papers, datasets and resources pertaining to open vocabulary object detection.

AR-CNN

Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection, ICCV, 2019

Multispectral-Pedestrian-Detection-Resource

A list of resouces for multispectral pedestrian detection,including the datasets, methods, annotations and tools.

ICAFusion

ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection, Pattern Recognition

RSDet

mmdetection

OpenMMLab Detection Toolbox and Benchmark

tuning_playbook_zh_cn

一本系统地教你将深度学习模型的性能最大化的战术手册。

mmyolo

OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

Awesome-RGBT-Fusion

A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian Detection, RGB-T Aerial Object Detection, RGB-T Semantic Segmentation, RGB-T Crowd Counting, RGB-T Fusion Tracking.

mmcv

OpenMMLab Computer Vision Foundation

ailearning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

WebLaTex

A complete alternative for Overleaf with VSCode + Web + Git Integration + Copilot + Grammar & Spell Checker + Live Collaboration Support. Based on GitHub Codespace and Dev container.

RWKV-TS

RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks

MSD-Mixer

A Multi-Scale Decomposition MLP-Mixer for Time Series Analysis

NeurIPS2023-One-Fits-All

The official code for "One Fits All: Power General Time Series Analysis by Pretrained LM (NeurIPS 2023 Spotlight)"

ChatGLM2-6B

ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

llama-chat

A boilerplate for creating a Llama 3 chat app

SAITS

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-series imputation (impute multivariate incomplete time series containing NaN missing data/values with machine learning). https://arxiv.org/abs/2202.08516

ModernTCN

This is an official implementation of "ModernTCN: A Modern Pure Convolution Structure for General Time Series Analysis" (ICLR 2024 Spotlight), https://openreview.net/forum?id=vpJMJerXHU

MICN

Code release of paper "MICN: Multi-scale Local and Global Context Modeling for Long-term Series Forecasting" (ICLR 2023)

PatchMixer

About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"

HDMixer

time-series-papers

An up-to-date list of time-series related papers in AI venues.

The-Rise-of-Diffusion-Models-in-Time-Series-Forecasting

Literature Survey about the available Diffusion Models capable of Time-Series Forecasting

Awesome-AI

Awesome AI，你的《人工智能指南》！