XINZHU.MA

Venus-MAXWELL. Source code of Venus-MAXWELL: Efficient Learning of Protein-Mutation Stability Landscapes using Protein Language Models

SciReason. Python

physlib. A project to digitalise results from physics into Lean.

DUO. Code for ICCV 2025 paper — Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts

Awesome-Scientific-Datasets-and-LLMs. A curated collection of papers, datasets, and resources on Scientific Datasets and Large Language Models (LLMs)

Intern-S1. A Scientific Multimodal Foundation Model

GUPNet_Plus. Python

PhysUniBenchmark. Python

vggt. [CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer

CPRet. [NeurIPS'25] CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming

Awesome-Scientific-Language-Models. A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)

Genomics-FM. Genomics-FM

ProSST. 🧬 Advanced hybrid language model for directed protein evolution. (NeurIPS 2024)

ContraNovo. Python

MetaTransformer. Meta-Transformer for Unified Multimodal Learning

RNABenchmark. [NeurIPS 2024] BEACON: Benchmark for Comprehensive RNA Tasks and Language Models

MI-optimize. mi-optimize is a versatile tool designed for the quantization and evaluation of large language models (LLMs). The library's seamless integration of various quantization methods and evaluation techniques empowers users to customize their approaches according to specific requirements and constraints, providing a high level of flexibility.

HumanBench. This repo is official implementation of HumanBench (CVPR2023)

MonoDetector. This repository contains unofficial pytorch implementations for SMOKE, MonoCon, GUPNet, MonoFlex and IDMS

omni3d. Code release for "Omni3D A Large Benchmark and Model for 3D Object Detection in the Wild"

Fast-MoCo. Official PyTorch implementation of Fast-MoCo

monodepth2. [ICCV 2019] Monocular depth estimation from a single image

MonoDETR. [ICCV 2023] The first DETR model for monocular 3D object detection with depth-guided transformer

OpenPCDet. OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

rotograd. Official Pytorch's implementation of RotoGrad

MonoCon. Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection (AAAI'22)

3dodi-survey. https://arxiv.org/pdf/2202.02980

pytorch. Tensors and Dynamic neural networks in Python with strong GPU acceleration

monodleX. The modified version of monodle, supports truncation targets.

Awesome-3D-Object-Detection-for-Autonomous-Driving. 3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)

MonoDistill. Python

GUPNet. Python

NSE_NAS. Official PyTorch implementation of "Evolving Search Space for Neural Architecture Search"

MonoGeo.

monodle. Delving into Localization Errors for Monocular 3D Object Detection, CVPR'2021

SMOKE. SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation

tide. A General Toolbox for Identifying Object Detection Errors

patchnet. Code release for "Rethinking Pseudo-LiDAR Representation (ECCV2020)".

mmdetection3d. OpenMMLab's next-generation platform for general 3D object detection.

mmdetection. OpenMMLab Detection Toolbox and Benchmark

M3D-RPN. Python

awesome-point-cloud-analysis. A list of papers and datasets about point cloud analysis (processing)

frustum-pointnets. Frustum PointNets for 3D Object Detection from RGB-D Data

semantic-segmentation-pytorch. Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

faster-rcnn.pytorch. A faster pytorch implementation of faster r-cnn

Detectron.pytorch. A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

PyTorch-YOLOv3. Minimal PyTorch implementation of YOLOv3

FlowNetPytorch. Pytorch implementation of FlowNet by Dosovitskiy et al.

tensorboardX. tensorboard for pytorch (and chainer, mxnet, numpy, ...)

CLRS. :notebook:Solutions to Introduction to Algorithms

deepo. Setup and customize deep learning environment in seconds.