LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

Books for Quant Finance Interviews

Sourcetrail - free and open-source interactive source explorer

This is code of book "Learn Deep Learning with PyTorch"

PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍

Official repository for "A Survey of Label-Efficient Deep Learning for 3D Point Clouds"

Flow-based visual scripting for Python

Human-explainable AI.

Jailed iOS app that can install IPAs permanently with arbitary entitlements and root helpers because it trolls Apple

⚡ Dynamically generated stats for your github readmes

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…

Public quant internship repository, maintained by NUFT but available for everyone.

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

An extension for VS Code that visualizes data during debugging.

🔥 💪 FG-Net: A Fast and Accurate Framework for Large-Scale LiDAR Point Cloud Understanding

AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓，同时包含工作和科研过程中的新想法、新问题、新资源与新项目

A Theory and Practical Guide to Deep Learning Semantic Segmentation

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

CopyManga extension for Tachiyomi.

Source extensions for the Mihon/Tachiyomi app.

[NeurIPS 2023] Semantic segmentation of sparse irregular point clouds for leaf/wood discrimination

Official implementation of "Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation. Xu et al. ICCV 2023."

Mask3D predicts accurate 3D semantic instances achieving state-of-the-art on ScanNet, ScanNet200, S3DIS and STPLS3D.

[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

Fake Blender Python API module collection for the code completion.

Code release for "A New Benchmark: On the Utility of Synthetic Data with Blender for Bare Supervised Learning and Downstream Domain Adaptation", accepted by CVPR2023.

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

This project studies the intrinsic relationship between the stocks’ multiple factors and the investment value of the stocks listed in China Securities Index 800 Index through the machine method. Th…

An open source tool to activate and reset trial of Internet Download Manager