Pinned Repositories
automatic-mixed-precision-tutorials-pytorch
Automatic Mixed Precision Tutorials using pytorch. Based on PyTorch 1.6 Official Features, implement classification codebase using custom dataset.
Awesome-Skeleton-based-Action-Recognition
Skeleton-based Action Recognition
awkward-array
Manipulate arrays of complex data structures as easily as Numpy.
branchynet
cardioML
Arnaout Lab
CenterNet-1
Object detection, 3D detection, and pose estimation using center point detection:
CenterNet-better
An easy to understand and better performance version of CenterNet
CenterNetCPP
centerNet Caffe inference CPP
kaggle-rcic-1st
1st Place Solution for Kaggle Recursion Cellular Image Classification Challenge -- https://www.kaggle.com/c/recursion-cellular-image-classification/
python-is-cool
Cool Python features for machine learning that I used to be too afraid to use
wharu's Repositories
wharu/automatic-mixed-precision-tutorials-pytorch
Automatic Mixed Precision Tutorials using pytorch. Based on PyTorch 1.6 Official Features, implement classification codebase using custom dataset.
wharu/branchynet
wharu/cardioML
Arnaout Lab
wharu/CenterNet-1
Object detection, 3D detection, and pose estimation using center point detection:
wharu/CenterNet-better
An easy to understand and better performance version of CenterNet
wharu/centerX
This repo is implemented based on detectron2 and centernet
wharu/CPlusPlus
最全面的 C++ 笔记
wharu/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
wharu/cv-detect-robot
🔥🔥🔥🔥🔥🔥yolov5+YOLOX+yolo+tensorRT+ros+deepstream+jetson+nano+TX2+NX for High-performance deployment(高性能部署)
wharu/DCNv2
Deformable Convolutional Networks v2 (DCNv2) with Pytorch 1.8+ & JIT Compilation
wharu/deep-person-reid
Torchreid: Deep learning person re-identification in PyTorch.
wharu/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
wharu/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
wharu/dissect
Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"
wharu/DreamDiffusion
Implementation of “DreamDiffusion: Generating High-Quality Images from Brain EEG Signals”
wharu/hands-on-transfer-learning-with-python
Deep learning simplified by transferring prior learning using the Python deep learning ecosystem
wharu/iMoCap
dataset for ECCV 2020 "Motion Capture from Internet Videos"
wharu/JSON2YOLO
Convert JSON datasets into YOLO (darknet) format.
wharu/LeetCode
:monkey:LeetCode、剑指Offer刷题笔记(C/C++、Python3实现)
wharu/MVision
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
wharu/pixloc
Back to the Feature: Learning Robust Camera Localization from Pixels to Pose
wharu/PyTorch-Networks
Pytorch implementation of cnn network
wharu/PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
wharu/pytorch_simple_CenterNet_45
A simple pytorch implementation of CenterNet (Objects as Points)
wharu/sobot-rimulator
Autonomous mobile robot simulator.
wharu/tide
A General Toolbox for Identifying Object Detection Errors
wharu/UCAS-AOD-benchmark
A benchmark of UCAS-AOD dataset.
wharu/waymo-open-dataset
Waymo Open Dataset
wharu/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
wharu/yolov3
YOLOv3 in PyTorch > ONNX > CoreML > iOS