AustinXY

AustinXY's Stars

• youngyangyang04/leetcode-master

  《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

  Language:Shell53.3k38324411.7k

• mlabonne/llm-course

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

  Language:Jupyter Notebook41.4k426694.4k

• roboflow/supervision

  We write your reusable computer vision tools. 💜

  Language:Python24.6k1614551.8k

• NLP-LOVE/ML-NLP

  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

  Language:Jupyter Notebook16.3k384404.6k

• karpathy/minbpe

  Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

  Language:Python9.3k8538882

• axolotl-ai-cloud/axolotl

  Go ahead and axolotl questions

  Language:Python8.3k46719919

• amusi/Deep-Learning-Interview-Book

  深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

  7.8k180111.3k

• dreamgaussian/dreamgaussian

  [ICLR 2024 Oral] Generative Gaussian Splatting for Efficient 3D Content Creation

  Language:Python4k44158360

• OpenDriveLab/End-to-end-Autonomous-Driving

  [IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

  2.6k641253

• median-research-group/LibMTL

  A PyTorch Library for Multi-Task Learning

  Language:Python2.2k1883202

• zhengjingwei/machine-learning-interview

  算法工程师-机器学习面试题总结

  1.4k131193

• wangyuGithub01/Machine_Learning_Resources

  :fish::fish::fish: 机器学习面试复习资源

  1.1k110175

• geektutu/interview-questions

  机器学习/深度学习/Python/Go语言面试题笔试题(Machine learning Deep Learning Python and Golang Interview Questions)

  Language:Jupyter Notebook1.1k222205

• zju3dv/street_gaussians

  [ECCV 2024] Street Gaussians: Modeling Dynamic Urban Scenes with Gaussian Splatting

  Language:Python960707559

• ventusff/neurecon

  Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.

  Language:Python855241981

• colorfulfuture/Awesome-Trajectory-Motion-Prediction-Papers

  74222371

• StanfordASL/Trajectron-plus-plus

  Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

  Language:Jupyter Notebook6762392190

• OPEN-AIR-SUN/mars

  MARS: An Instance-aware, Modular and Realistic Simulator for Autonomous Driving

  Language:Python6561115164

• PJLab-ADG/neuralsim

  neuralsim: 3D surface reconstruction and simulation based on 3D neural rendering.

  Language:Python617426534

• princeton-computational-imaging/neural-scene-graphs

  Language:Python27261731

• OpenDriveLab/Openpilot-Deepdive

  Our insights of Openpilot, a deepdive project on it

  Language:Python24793370

• Tsinghua-MARS-Lab/StateTransformer

  Language:Python233152518

• zubair-irshad/NeO-360

  Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes

  Language:Python231251510

• Gutianpei/MID

  [CVPR2022] Code for CVPR 2022 paper "Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion"

  Language:Python19293532

• PJLab-ADG/nr3d_lib

  Modules, operators and utilities for 3D neural rendering in single-object, multi-object, categorical and large-scale scenes.

  Language:Python147121612

• Fudan-ProjectTitan/OpenAnnotate3D

  OpenAnnotate3D: Open-Vocabulary Auto-Labeling System for Multi-modal Data

  Language:Jupyter Notebook821352

• AustinXY/GIRAFFEHD

  Official Github repository for the CVPR 2022 paper "GIRAFFE HD: A High-Resolution 3D-aware Generative Model"

  Language:Python69673

• yangze0930/DirectVoxGO

  DirectVoxGO reconstructs a scene representation from a set of calibrated images capturing the scene. We achieve NeRF-comparable novel-view synthesis quality with super-fast convergence.

  Language:Python1000

• yangze0930/neurecon

  Multi-view 3D reconstruction using neural rendering. Unofficial implementation of UNISURF, VolSDF, NeuS and more.

  Language:Python1000

• yangze0930/svox2

  Plenoxels: Radiance Fields without Neural Networks, Code release WIP

  Language:Python1000