Stars
A game theoretic approach to explain the output of any machine learning model.
llama3 implementation one matrix multiplication at a time
An open-source, low-code machine learning library in Python
Accepted as [NeurIPS 2024] Spotlight Presentation Paper
Align Anything: Training All-modality Model with Feedback
[ICCV 2019] Monocular depth estimation from a single image
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
Feature selector is a tool for dimensionality reduction of machine learning datasets
Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral
KITTI Object Visualization (Birdview, Volumetric LiDar point cloud )
Some Python Implementations of the Kalman Filter
A multi-task learning example for the paper https://arxiv.org/abs/1705.07115
Code for "PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation" CVPR 2019 oral
Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch
Autonomously train research-agent LLMs on custom data using reinforcement learning and self-verification.
🔥3D点云目标检测&语义分割(深度学习)-SOTA方法,代码,论文,数据集等
AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.
A PyTorch implementation of PointRend: Image Segmentation as Rendering
Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"
Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.
an numpy-based implement of PointRend
learning materials for PyTorch beginners
Train a multi-label image classifier with macro soft-F1 loss in TensorFlow 2.0
bert annotation, input and output for people from scratch, 代码注释, 有每一步的输入和输出, 适合初学者
torch models and primitives for birdseye view and voxel models for self driving tasks.
Image processing with numpy
SVBRDF Estimation using a Physically-based Differentiable Renderer
Facial similarity using one-shot learning with Siamese Networks
SH lighting in python/C++