matt-sharp

matt-sharp's Stars

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++185k7.6k39.7k74.1k

• opencv/opencv

  Open Source Computer Vision Library

  Language:C++77.7k2.7k10.7k55.7k

• psf/black

  The uncompromising Python code formatter

  Language:Python38.3k2282.6k2.4k

• AlexeyAB/darknet

  YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

  Language:C21.6k4868.3k8k

• catboost/catboost

  A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

  Language:Python8k1912.3k1.2k

• GoogleCloudPlatform/training-data-analyst

  Labs and demos for courses for GCP Training (http://cloud.google.com/training).

  Language:Jupyter Notebook7.8k2812185.8k

• h2oai/h2o-3

  H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

  Language:Jupyter Notebook6.8k3859.4k2k

• nborwankar/LearnDataScience

  Open Content for self-directed learning in data science

  Language:Jupyter Notebook3k36911.7k

• WongKinYiu/ScaledYOLOv4

  Scaled-YOLOv4: Scaling Cross Stage Partial Network

  Language:Python2k42396571

• ZFTurbo/Weighted-Boxes-Fusion

  Set of methods to ensemble boxes from different object detection models, including implementation of "Weighted boxes fusion (WBF)" method.

  Language:Python1.7k1755237

• DrSkippy/Data-Science-45min-Intros

  Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

  Language:Jupyter Notebook1.6k1961476

• rafaelpadilla/review_object_detection_metrics

  Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.

  Language:Python1.1k16105212

• NVIDIA/retinanet-examples

  Fast and accurate object detection with end-to-end GPU optimization

  Language:Python88545316272

• ceccocats/tkDNN

  Deep neural network library and toolkit to do high performace inference on NVIDIA jetson platforms

  Language:C++71840279209

• linghu8812/tensorrt_inference

  Language:C++70013168205

• BMW-InnovationLab/BMW-YOLOv4-Training-Automation

  This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.

  Language:Python6413521128

• SforAiDl/KD_Lib

  A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge Distillation, Pruning, and Quantization.

  Language:Python592166358

• ming71/toolbox

  various cv tools, such as label tools, data augmentation, label conversion, etc.

  Language:Jupyter Notebook422815125

• csuhan/s2anet

  Official code of the paper "Align Deep Features for Oriented Object Detection"

  Language:Python3741115490

• USC-InfoLab/rddc2020

  road damage detection challenge 2020

  Language:Jupyter Notebook26981077

• ancasag/ensembleObjectDetection

  Language:Python1549630

• waittim/draw-YOLO-box

  Draw bounding boxes on raw images based on YOLO format annotation. Help to check the correctness of annotation and extract the images with wrong boxes.

  Language:Python923233

• i008/COCO-dataset-explorer

  Streamlit tool to explore coco datasets

  Language:Python8531115

• klemag/pydataLDN_2019-maintainable-code-for-data-science

  Language:Jupyter Notebook473027

• ashnair1/dotadevkit

  Toolkit for working with the DOTA aerial object detection dataset

  Language:C++372133

• baasitsharief/drawBB

  A python script to draw bounding boxes on ground truth and detections for YOLO styled annotations and VOC too.

  Language:Python14103

• terfilip/DataAnalysisParallel-PyData

  Complete code used during the Data Analysis in Parallel tutorial at PyData London 2019. It includes a notebook actually shown in the tutorial, a notebook for fitting the sentiment model, and input data

  Language:Jupyter Notebook9103

• adi1999/yolo-bbox-visualizer

  Generally, we can draw bounding boxes using the coordinates given as X_min, Y_min , X_max, Y_max OR X, Y ,W, H, but when these coordinates are normalizes to the scale of 0-1 ( for ex, images annotated by labelimg have the output coordinates of bboxes in this scale ), it can be a little tricky to draw bbox. So i have a little script to change the scale and to draw bbox on objects if the coordinates are on the scale 0-1 .

  Language:Python41

• IBMDeveloperUK/pixiedust-spark-wml

  Language:Jupyter Notebook11

• kevaldoshi17/road-damage-detection

  Language:Python1000