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Starred repositories
In-depth review of industry trends in AI, LLMs, Machine Learning, Computer Science, and Quantitative Finance.
End2EndPerception deployment solution based on vision sparse transformer paradigm is open sourced.
SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation
[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.
An AI-native app to digitize your wardrobe, get outfit inspirations, and try on looks virtually. Support both iOS and Android
Free, simple, fast interactive diagrams for any GitHub repository
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
[ICRA'24] Official implementation of "A Coarse-to-Fine Place Recognition Approach using Attention-guided Descriptors and Overlap Estimation"
Pytrade.org is a curated list of Python libraries and resources for algorithmic trading
Generative Agents: Interactive Simulacra of Human Behavior
🤗 smolagents: a barebones library for agents that think in code.
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
High Performance Map Matching with Markov Decision Processes (MDPs) and Hidden Markov Models (HMMs).
A tutorial on map matching using OpenStreetMap data
Download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
A Modular Framework for LiDAR-based Lifelong Mapping
「海外工具网站」已经是我人生主要事业了，很庆幸还来得及，感谢这个伟大的 AI 时代。
SNAP: Self-supervised Neural Maps for Visual Positioning and Semantic Understanding (NeurIPS 2023)
Source Code for Paper "OrienterNet Visual Localization in 2D Public Maps with Neural Matching"
Learning Cortical Anomaly through Masked Encoding for Unsupervised Heterogeneity Mapping.
micapipe from the Multimodal imaging and connectome analysis lab (http://mica-mni.github.io) at the Montreal Neurological Institute. Read The Docs documentation below
This repo contains handouts for DP100 - Designing and Implementing a Data Science Solution on Azure
Implementation of popular ML algorithms from scratch
A curated list of radar datasets, detection, tracking and fusion