Pinned Repositories
VAR
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
csapp
Computer Systems: A Programmer's Perspective
Programming-Practice
project-based-learning
Curated list of project-based tutorials
VAR
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction"
SparK
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
Unicorn
[ECCV'22 Oral] Towards Grand Unification of Object Tracking
OneNet
[ICML2021] What Makes for End-to-End Object Detection
SparseR-CNN
[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal
VNext
Next-generation Video instance recognition framework on top of Detectron2 which supports InstMove (CVPR 2023), SeqFormer(ECCV Oral), and IDOL(ECCV Oral))
iFighting's Repositories
iFighting/project-based-learning
Curated list of project-based tutorials
iFighting/VAR
[GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction"
iFighting/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
iFighting/apex
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
iFighting/awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
iFighting/Awesome-Pruning
A curated list of neural network pruning resources.
iFighting/centermask2
CenterMask2 on top of detectron2, in CVPR 2020
iFighting/cocoapi
COCO API - Dataset @ http://cocodataset.org/
iFighting/cvpr2019
cvpr2019 papers，极市团队整理
iFighting/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
iFighting/Detectron.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
iFighting/EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
iFighting/few-shot-object-detection
Implementations of few-shot object detection benchmarks
iFighting/gluoncv-torch
PyTorch API for GluonCV Models
iFighting/hangzhou_house_knowledge
2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.
iFighting/hiddenlayer
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
iFighting/IF
iFighting/modern-cpp-features
A cheatsheet of modern C++ language and library features.
iFighting/mxnext
iFighting/netron
Visualizer for deep learning and machine learning models
iFighting/once_for_all
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
iFighting/OneNet
OneNet: End-to-End One-Stage Object Detection
iFighting/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
iFighting/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
iFighting/SiamMask
[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach
iFighting/SlimYOLOv3
This page is for the SlimYOLOv3: Narrower, Faster and Better for UAV Real-Time Applications
iFighting/SparseR-CNN
End-to-End Object Detection with Learnable Proposal
iFighting/WeakSupervisedSegmentationList
This repository contains lists of state-or-art weakly supervised semantic segmentation works
iFighting/yolact
A simple, fully convolutional model for real-time instance segmentation.
iFighting/YOLOv3-model-pruning
对 YOLOv3 做模型剪枝（network slimming），对于 oxford hand 数据集（因项目需要），模型剪枝后的参数量减少 80%，Infer 的速度达到原来 2 倍，mAP 基本不变