Nate's repositories
AI-Competition-Collections
AI比赛经验帖子 & 训练和测试技巧帖子 集锦（收集整理各种人工智能比赛经验帖）
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
anylabeling
Effortless AI-assisted data labeling with AI support from Segment Anything and YOLO!
cmake-examples
Useful CMake Examples
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++
CVPR21-Deep-Lucas-Kanade-Homography
A generic pipeline to align multimodal image pairs from different sensors by extending Lucas-Kanade on feature maps. CVPR2021
Deep-homography-estimation-pytorch
PyTorch implementation of Deep Homography Estimation.
Face-Detector-1MB-with-landmark
1M人脸检测模型(含关键点)
FastestDet0
:zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler
fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
Grounded-Segment-Anything
Marrying Grounding DINO with Segment Anything & Stable Diffusion & Tag2Text & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs
imgaug
Image augmentation for machine learning experiments.
LibMTL
A PyTorch Library for Multi-Task Learning
ml-mobileone
This repository contains the official implementation of the research paper, "An Improved One millisecond Mobile Backbone".
Multi-Task-Learning-PyTorch
PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).
nutonomy_pointpillars
Convert pointpillars Pytorch Model To ONNX for TensorRT Inference
PathPlanning
Common used path planning algorithms with animations.
pytorch-auto-drive
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
Pytorch_Retinaface
Retinaface get 80.99% in widerface hard val using mobilenet0.25.
RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
SimpleAICV_pytorch_training_examples
SimpleAICV:pytorch training and testing examples.
SSD-Knowledge-Distillation
A PyTorch Implementation of Knowledge Distillation on SSD
SuperPoint-Pytorch
Pytorch Implementation of rpautrat/SuperPoint
SuperPoint_SLAM
SuperPoint + ORB_SLAM2
tensorRT_Pro
C++ library based on tensorrt integration
torch-template-for-deep-learning
Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.
w3-goto-world
🍅Git/AWS/Google 镜像 ,SS/SSR/VMESS节点,WireGuard,IPFS, DeepWeb,Capitalism 知识储备库
Yolo-Fastest
:zap: Yolo universal target detection model combined with EfficientNet-lite, the calculation amount is only 230Mflops(0.23Bflops), and the model size is 1.3MB