amintahmasbi's Stars
StevenBlack/hosts
🔒 Consolidating and extending hosts files from several well-curated sources. Optionally pick extensions for porn, social media, and other categories.
deezer/spleeter
Deezer source separation library including pretrained models.
afshinea/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
iterative/dvc
🦉 Data Versioning and ML Experiments
CesiumGS/cesium
An open-source JavaScript library for world-class 3D globes and maps :earth_americas:
afshinea/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
ifzhang/FairMOT
[IJCV-2021] FairMOT: On the Fairness of Detection and Re-Identification in Multi-Object Tracking
xingyizhou/CenterTrack
Simultaneous object detection and tracking using center points.
CesiumGS/3d-tiles
Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
VainF/Awesome-Anything
General AI methods for Anything: AnyObject, AnyGeneration, AnyModel, AnyTask, AnyX
xinshuoweng/AB3DMOT
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"
facebookresearch/votenet
Deep Hough Voting for 3D Object Detection in Point Clouds
the-full-stack/fsdl-text-recognizer-project
Lab materials for the Full Stack Deep Learning Course
udacity/DSND_Term2
Contains files related to content and project of DSND Term 2
xiaoyufenfei/Efficient-Segmentation-Networks
Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)
tdpetrou/Machine-Learning-Books-With-Python
Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
udacity/ud777-writing-readmes
Supplemental material for Udacity's "Writing READMEs" course
udacity/AIPND
Code and associated files for the AI Programming with Python Nanodegree Program
bowenc0221/panoptic-deeplab
This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)
skyhehe123/SA-SSD
SA-SSD: Structure Aware Single-stage 3D Object Detection from Point Cloud (CVPR 2020)
connormanning/entwine
Entwine - point cloud organization for massive datasets
eddyhkchiu/mahalanobis_3d_multi_object_tracking
[NeurIPS Workshop 2019] Official code of the paper "Probabilistic 3D Multi-Object Tracking for Autonomous Driving." First Place of the First NuScenes Tracking Challenge in the AI Driving Olympics Workshop of NeurIPS.
miranthajayatilake/YOLOw-Keras
YOLOv2 Object Detection w/ Keras (in just 20 lines of code)
udacity/aind2-cnn
AIND Term 2 -- Lesson on Convolutional Neural Networks
pxiangwu/MotionNet
CVPR 2020, "MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps"
FrancescoSaverioZuppichini/Reinforcement-Learning-Cheat-Sheet
Reinforcement Learning Cheat Sheet
cboettig/hugo-now-ui
:globe_with_meridians: Hugo adaptation of Now-UI from Creative Tim
astuff/kvaser_interface
A Kvaser CAN interface ROS abstraction layer.
commaai/entium
A helper for converting entwine tile data into cesium tiles
apple2373/min-seg-road
Minimizing Supervision for Free-space Segmentation (CVPR 2018 Workshop)