Latex template for ACM conference/Journal rebuttal.

MTGS: Multi-Traversal Gaussian Splatting

LaTeX template for dissertations in Peking University

📚 从零开始构建大模型

本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

国内梯子VPN排行榜 - 推荐最好用的VPN推荐与测评【知乎推荐排行】

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).

PyTorch Boilerplate For Research

[CVPR2025] Omni-Scene: Omni-Gaussian Representation for Ego-Centric Sparse-View Scene Reconstruction

Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning

[ICLR 2025 Oral] The official implementation of "Diffusion-Based Planning for Autonomous Driving with Flexible Guidance"

[ICLR 2025] Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving

BEVFormer, UniAD, VAD in Closed-Loop CARLA Evaluation with World Model RL Expert Think2Drive

[ICLR 2025] The official implementation of SSR

Collect some World Models for Autonomous Driving (and Robotic, etc.) papers.

A curated list of awesome knowledge-driven autonomous driving (continually updated)

✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% | LeetCode 题解

[CVPR 2024] SelfOcc: Self-Supervised Vision-Based 3D Occupancy Prediction

Awesome papers and code about Multi-Camera 3D Occupancy Prediction, such as TPVFormer, SurroundOcc, PanoOcc, OccFormer, FB-OCC, SelfOcc, COTR, SparseOcc, GaussianFormer, GaussianOcc, STCOcc, OccMam…

This repository contains demos I made with the Transformers library by HuggingFace.

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…

一本系统地教你将深度学习模型的性能最大化的战术手册。

A playbook for systematically maximizing the performance of deep learning models.

Approaching (Almost) Any Machine Learning Problem