kevinmtian's Stars
Unity-Technologies/ml-agents
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
CapsuleEndoscope/EndoSLAM
EndoSLAM Dataset and an Unsupervised Monocular Visual Odometry and Depth Estimation Approach for Endoscopic Videos: Endo-SfMLearner
CapsuleEndoscope/VirtualCapsuleEndoscopy
VR-Caps: A Virtual Environment for Active Capsule Endoscopy
stefmolin/Hands-On-Data-Analysis-with-Pandas
Materials for following along with Hands-On Data Analysis with Pandas.
Ai2healthcare/Ai2healthcare.github.io
https://ai2healthcare.github.io/
fcdl94/MiB
Official code for Modeling the Background for Incremental Learning in Semantic Segmentation https://arxiv.org/abs/2002.00718
ygjwd12345/CAF
The offical Pytorch code for "Continual Attentive Fusion for Incremental Learning in Semantic Segmentation"
Jongchan/attention-module
Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"
zotero/zotero
Zotero is a free, easy-to-use tool to help you collect, organize, annotate, cite, and share your research sources.
zengyan-97/X-VLM
X-VLM: Multi-Grained Vision Language Pre-Training (ICML 2022)
davidhalter/jedi-vim
Using the jedi autocompletion library for VIM.
huawei-noah/Efficient-AI-Backbones
Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.
PetrochukM/PyTorch-NLP
Basic Utilities for PyTorch Natural Language Processing (NLP)
google-research-datasets/Objectron
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes
open-mmlab/mmdetection
OpenMMLab Detection Toolbox and Benchmark
open-mmlab/mmdetection3d
OpenMMLab's next-generation platform for general 3D object detection.
google-ai-edge/mediapipe
Cross-platform, customizable ML solutions for live and streaming media.
seung-lab/connected-components-3d
Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants; periodic boundaries (4, 8, & 6)
kornia/kornia
Geometric Computer Vision Library for Spatial AI
RaptorMai/online-continual-learning
A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).
xialeiliu/Awesome-Incremental-Learning
Awesome Incremental Learning
aimagelab/mammoth
An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning
harvardnlp/annotated-transformer
An annotated implementation of the Transformer paper.
facebookresearch/deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
taigw/brats17
Brain tumor segmentation for MICCAI 2017 BraTS challenge
BBillot/hypothalamus_seg
a tool to segment the hypothalamus and associated subunits on T1-weighted MRI scans
psf/black
The uncompromising Python code formatter
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
pytorch/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
dmlc/xgboost
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow