Pinned Repositories
6.5940-project
6.S965
A-star-CUDA
A* implementation for NVIDIA GPU
adain-style-mobile
Adaptive-TML
AdasSourrondView
The C++ code demo for surrond view of car
Analytic-continual-learning
This repository will be posting analytic continual learning series, including Analytic Class-Incremental Learning (ACIL), Gaussian Kernel Embedded Analytic Learning (GKEAL), Dual-Stream Analytic Learning (DS-AL), etc.
android_hardware_qcom-caf_sm8150_display
SM8150 CAF display HAL
android_hardware_qcom-caf_sm8150_media
SM8150 CAF media HAL
annotated-transformer
An annotated implementation of the Transformer paper.
EverestRs's Repositories
EverestRs/Analytic-continual-learning
This repository will be posting analytic continual learning series, including Analytic Class-Incremental Learning (ACIL), Gaussian Kernel Embedded Analytic Learning (GKEAL), Dual-Stream Analytic Learning (DS-AL), etc.
EverestRs/awesome-table-structure-recognition
A Curated List of Awesome Table Structure Recognition (TSR) Research. Including models, papers, datasets and codes. Continuously updating.
EverestRs/ccf-deadlines
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
EverestRs/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
EverestRs/Denoising-ViT
This is the official code release for our work, Denoising Vision Transformers.
EverestRs/Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
EverestRs/FasterViT
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
EverestRs/gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
EverestRs/InnovativeStructure
深度学习的好用结构，可以帮忙设计相关结构，欢迎在问题中留言
EverestRs/LAUDNet
IEEE TPAMI: Latency-aware Unified Dynamic Networks for Efficient Image Recognition
EverestRs/MobileNetV4
This is a warehouse for MobileNetV4-Pytorch-model, can be used to train your image-datasets for vision tasks.
EverestRs/MobileNetV4-pytorch
An unofficial implementation of MobileNetV4 in Pytorch
EverestRs/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
EverestRs/objectdetection_script
一些关于目标检测的脚本的改进思路代码，详细请看readme.md
EverestRs/oled-ui-astra
A smooth, easy-to-deploy, and easy-to-extend OLED UI framework, based on C++.
EverestRs/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
EverestRs/RepNeXt
RepNeXt: A Fast Multi-Scale CNN using Structural Reparameterization
EverestRs/Rewrite-the-Stars
[CVPR 2024] Rewrite the Stars
EverestRs/RHER
The Code for Paper “Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards”
EverestRs/rk3588-yolo-demo
The project is a multi-threaded inference demo of Yolo running on the RK3588 platform, which has been adapted for reading video files and camera feeds. The demo uses the Yolov8n model for file inference, with a maximum inference frame rate of up to 100 frames per second.
EverestRs/SHViT
[CVPR 2024] SHViT: Single-Head Vision Transformer with Memory Efficient Macro Design
EverestRs/SLAB
[ICML 2024] Official PyTorch implementation of "SLAB: Efficient Transformers with Simplified Linear Attention and Progressive Re-parameterized Batch Normalization"
EverestRs/Table-Detection-Structure-Recognition
https://dl.acm.org/doi/10.1145/3657281
EverestRs/TableBank
TableBank: A Benchmark Dataset for Table Detection and Recognition
EverestRs/TensorRT-YOLO
🚀 TensorRT-YOLO: Supports YOLOv3, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv9, YOLOv10, and PP-YOLOE using TensorRT acceleration with EfficientNMS, CUDA Kernels and CUDA Graphs!
EverestRs/Train_Custom_Dataset
标注自己的数据集，训练、评估、测试、部署自己的人工智能算法
EverestRs/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
EverestRs/vitamin-seg-torch
使用vitamin作为backbone的纯分割项目，提供了简单易懂的分割框架（非建造者模式架构，适合个人和小白实验）
EverestRs/YOLO-World
[CVPR 2024] Real-Time Open-Vocabulary Object Detection
EverestRs/yolov10
YOLOv10: Real-Time End-to-End Object Detection