Yasen Hu's starred repositories
github-readme-stats
:zap: Dynamically generated stats for your github readmes
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Deep-Learning-Interview-Book
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
ai-deadlines
:alarm_clock: AI conference deadline countdowns
dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras
awesome-hpp
A curated list of awesome header-only C++ libraries
CenterTrack
Simultaneous object detection and tracking using center points.
imbalanced-dataset-sampler
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
AwesomeCpp
---AWESOME--- C++学习笔记和常见面试知识点,C++11特性,包括智能指针、四种强制转换、function和bind、移动语义、完美转发、tuple、多态原理、虚表、友元函数、符号重载、函数指针、深浅拷贝、struct内存对齐、volatile以及union\static等各种关键字的用法等等
CPP_Optimizations_Diary
Tips and tricks to optimize your C++ code
PyTorchTricks
Some tricks of pytorch... :star:
extension-cpp
C++ extensions in PyTorch
tracking_wo_bnw
Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"
mahalanobis_3d_multi_object_tracking
[NeurIPS Workshop 2019] Official code of the paper "Probabilistic 3D Multi-Object Tracking for Autonomous Driving." First Place of the First NuScenes Tracking Challenge in the AI Driving Olympics Workshop of NeurIPS.