Popular GitHub Repositories for Interior Point Method

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

A resource repository for 3D machine learning

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

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

A Model Context Protocol (MCP) Gateway. Serves as a central management point for tools, resources, and prompts that can be accessed by MCP-compatible LLM applications. Converts REST API endpoints to MCP, composes virtual MCP servers with added security and observability, and converts between protocols (stdio, SSE).

Pointcept: a codebase for point cloud perception research. Latest works: PTv3 (CVPR'24 Oral), PPT (CVPR'24), OA-CNNs (CVPR'24), MSC (CVPR'23)

Pytorch framework for doing deep learning on point clouds.

[ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers"

High-efficiency floating-point neural network inference operators for mobile, server, and Web

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Deep Hough Voting for 3D Object Detection in Point Clouds

Frustum PointNets for 3D Object Detection from RGB-D Data

A state-of-the-art semi-supervised method for image recognition

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.