abhi-kumar

100DaysOfMachineVision

A personal exercise in going through machine learning and computer vision algorithms

1_gluoncv_finetune_docs

Functional documentation for Monk Object Detection - 1_gluoncv_finetune

2_pytorch_finetune_docs

Functional documentation for Monk Object Detection - 2_pytorch_finetune

3_mxrcnn_docs

Functional documentation for Monk Object Detection - 3_mxrcnn

monk_cls_demos

monk_det_demos

monk_v1-1

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

gsoc2020

Information about GSoC2020 with MonkAI

4_efficientdet_docs

Functional documentation for Monk Object Detection - 4_efficientdet

5_pytorch_retinanet_docs

Functional documentation for Monk Object Detection - 5_pytorch_retinanet

6_cornernet_lite_docs

Functional documentation for Monk Object Detection - 6_cornernet_lite

7_yolov3_docs

Functional documentation for Monk Object Detection - 7_yolov3

8_pytorch_rfbnet_docs

Functional documentation for Monk Object Detection - 8_pytorch_rfbnet

ai4earth-serengeti-runtime

Container specifications for AI for Earth Serengeti competition on DrivenData

cocoapi

COCO API - Dataset @ http://cocodataset.org/

ConSinGAN

PyTorch implementation of "Improved Techniques for Training Single-Image GANs" (WACV-21)

Monk_Gui

A Graphical user Interface for deep learning and computer vision over Monk Libraries

monk_kaggle_bengali_ai

Test branch of Monk AI: https://github.com/Tessellate-Imaging/monk_v1 for Kaggle competition

Monk_Object_Detection

A one-stop repository for low-code easily-installable object detection pipelines.

monk_v1_docs

Functional Documentation for Monk Image Classification Library

monkAI_webinar

nbgrader-demo

Short demo of nbgrader

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

python-conda_pip

Installing Anaconda and using it to pip-install extra packages.

Pytorch_Tutorial

A set of jupyter notebooks on pytorch functions with examples

sample_test

SinGAN

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

Study

Simple implementations of general machine learning algorithms, different NNs & CNNs, Genetic and Evolutionary algorithms, and GANs

Temp2

Temporary