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斯坦福 CS224W（2023 Winter）的中文笔记、作业与Colab | Chinese notes, homwork and colabs of Stanford CS224W (2023 Winter)
This is the central repository where students of FA24 STAT 240 can access course files, including discussion and homework assignments. This repository will be updated continually throughout the sem…
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
📚 Repository for my Code / Reports / Notes on PolyU COMP Subjects
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
Header-only C++/python library for fast approximate nearest neighbors
Your Live2D desktop assistant powered by LLM! Available for both Windows and MacOS, it senses your screen, retrieves clipboard content, and responds to voice commands with a unique voice. Featuring…
Starter kit for new players of Terminal. Contains starter-algo and a basic CLI for running/debugging algo's locally.
Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search
A library of algorithms for approximate nearest neighbor search in high dimensions, along with a set of useful tools for designing such algorithms.
Algorithms for approximate nearest neighbor search with window filters
Competitive programming template, mainly used for ICPC competitions.
PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., C…
SeRF: Segment Graph for Range-Filtering Approximate Nearest Neighbor Search
Project page of the paper "Learning general and distinctive 3D local deep descriptors for point cloud registration" published in IEEE T-PAMI
Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.
Source code of CVPR 2024 paper 'FastMAC: Stochastic Spectral Sampling of Correspondence Graph'
Benchmark of Nearest Neighbor Search on High Dimensional Data
A list of papers and datasets about point cloud analysis (processing)
Official implementation of paper "Cumulative Reasoning With Large Language Models" (https://arxiv.org/abs/2308.04371)
NAACL 2021: Are NLP Models really able to Solve Simple Math Word Problems?
A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
GMS: Grid-based Motion Statistics for Fast, Ultra-robust Feature Correspondence (CVPR 17 & IJCV 20)