Code for CVPR2025 paper: Generating Multimodal Driving Scenes via Next-Scene Prediction

Contexts Optical Compression

Fast and memory-efficient exact attention

The simplest, fastest repository for training/finetuning medium-sized GPTs.

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

Code base of the BEVDet series .

Lightweight, useful implementation of conformal prediction on real data.

RelTR: Relation Transformer for Scene Graph Generation: https://arxiv.org/abs/2201.11460v2

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.

Official code for "Structured Bird’s-Eye-View Traffic Scene Understanding from Onboard Images" (ICCV 2021)

[NeurIPS 2024] An Interpretable Pipeline for Lane Topology Reasoning on Driving Scenes

[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉

This is a list of useful libraries and resources for CUDA development.

Graph-based Topology Reasoning for Driving Scenes

🟣 LLMs interview questions and answers to help you prepare for your next machine learning and data science interview in 2025.

✨✨Latest Advances on Multimodal Large Language Models

Classical equations and diagrams in machine learning

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Quantitative Interview Preparation Guide, updated version here ==>

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

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

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资