architgarg1996's starred repositories
build-your-own-x
Master programming by recreating your favorite technologies from scratch.
bgslibrary
A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT
AttentionXML
Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"
Sharpness-Aware-Minimization-TensorFlow
Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.
keras_cv_attention_models
Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionnext,lcnet,levit,maxvit,mobilevit,moganet,nat,nfnets,pvt,swin,tinynet,tinyvit,uniformer,volo,vanillanet,yolor,yolov7,yolov8,yolox,gpt2,llama2, alias kecam
tfjs-models
Pretrained models for TensorFlow.js
keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
keras-yolo2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
tf_to_trt_image_classification
Image classification with NVIDIA TensorRT from TensorFlow models.
context_aug
Context-driven data augmentation for Object Detection (ECCV'18)
DataAugmentationForObjectDetection
Data Augmentation For Object Detection
receptivefield
Gradient based receptive field estimation for Convolutional Neural Networks
receptivefield
Gradient based receptive field estimation for Convolutional Neural Networks
tensorflow_retinanet
RetinaNet with Focal Loss implemented by Tensorflow
yolov4-custom-functions
A Wide Range of Custom Functions for YOLOv4, YOLOv4-tiny, YOLOv3, and YOLOv3-tiny Implemented in TensorFlow, TFLite, and TensorRT.
jupyter-text2code
A proof-of-concept jupyter extension which converts english queries into relevant python code
Automold--Road-Augmentation-Library
This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.
LSTM_Pose_Machines
Code repo for "LSTM Pose Machines" (CVPR'18)