Pinned Repositories
activity-indoor-localization
Code for an indoor localization project for CS386W (Wireless Networking). We use activity classification from motion data collected by a smartphone and a particle filter to localize a user inside a builidng.
adawhatever
MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.
advisor
Open-source implementation of Google Vizier for hyper parameters tuning
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-MATLAB
A curated list of awesome MATLAB toolboxes, applications, software and resources.
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
filterpy
Kalman filtering and optimal estimation library in Python. Kalman filter, Extended Kalman filter, Unscented Kalman filter, g-h, least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
InceptionTime
InceptionTime: Finding AlexNet for Time Series Classification
scikit-learn
scikit-learn: machine learning in Python
UJIndoorLoc_cleaning
caifazhou's Repositories
caifazhou/InceptionTime
InceptionTime: Finding AlexNet for Time Series Classification
caifazhou/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
caifazhou/Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
caifazhou/autograd
Efficiently computes derivatives of numpy code.
caifazhou/caifazhou.github.io
Build a Jekyll blog in minutes, without touching the command line.
caifazhou/clipper
graph-theoretic framework for robust pairwise data association
caifazhou/coding-interview-university
A complete computer science study plan to become a software engineer.
caifazhou/DAIR-V2X
caifazhou/decagon
Graph convolutional neural network for multirelational link prediction
caifazhou/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
caifazhou/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
caifazhou/DiT
Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"
caifazhou/ecs-faq
Frequently asked questions about Entity Component Systems
caifazhou/GEM
caifazhou/GNNPapers
Must-read papers on graph neural networks (GNN)
caifazhou/google-research
Google AI Research
caifazhou/graph_nets
Build Graph Nets in Tensorflow
caifazhou/grok-1
Grok open release
caifazhou/instant-ngp
Instant neural graphics primitives: lightning fast NeRF and more
caifazhou/labelCloud
A lightweight tool for labeling 3D bounding boxes in point clouds.
caifazhou/machine-learning-yearning
Machine Learning Yearning book by 🅰️𝓷𝓭𝓻𝓮𝔀 🆖
caifazhou/milliEgo
caifazhou/os-tutorial
How to create an OS from scratch
caifazhou/RAdam
On The Variance Of The Adaptive Learning Rate And Beyond
caifazhou/rope3d-dataset-tools
caifazhou/SiT
Official PyTorch Implementation of "SiT: Exploring Flow and Diffusion-based Generative Models with Scalable Interpolant Transformers"
caifazhou/snap
SNAP: Self-supervised Neural Maps for Visual Positioning and Semantic Understanding (NeurIPS 2023)
caifazhou/START
[ICDE2023] A PyTorch implementation of Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics Framework (START).
caifazhou/tech-interview-handbook
💯 Algorithms study materials, behavioral content and tips for rocking your coding interview
caifazhou/UniAD
[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving