-design-and-implementation-of-processing-module-for-object-detection-and-weapon-classification-with-

Deep Learning has emerged as a new area in machine learning and is applied to a number of image applications. The main purpose of the this work is to apply the concept of a Deep Learning algorithm namely, Convolutional neural networks (CNN) in image classification. The algorithm is tested on standard COCO datasets. The performance of the algorithm is evaluated based on the quality metric known as Mean Squared Error (MSE) and classification accuracy. The experimental result analysis based on the quality metrics and the graphical representation proves that the algorithm (CNN) gives fairly good classification accuracy for all the tested datasets. Then we used visualization technique on the particular image for understanding which part of a given image led to convert to its final classification decision. For this we used CAM Visualisation technique. We also tried in doing object detection by using Pytorch.

all-c-programs

animal-sounds

Animal Sounds Machine Learning

assignment-cars24

attention-mechanisms

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

automatic-image-captioning

Generating Captions for images using Deep Learning

awd-lstm-lm

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

biasfree_social_media_bot

blindchat

a facebook messenger bot that allows users to chat with other people on facebook anonymously

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

char_level_machine_translation_keras

copycat-abstractive-opinion-summarizer

ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

datalab-samples

deep-learning-container-deployment-on-amazon-sagemaker---titanic-dataset

Deploy your Deep learning container algorithms on Amazon Sagemaker. I have deployed Tensorflow based container trained on the famous titanic dataset.

deepfakes

This is the code for "DeepFakes" by Siraj Raval on Youtube

deeplearning-models

A collection of various deep learning architectures, models, and tips

dnncompiler

Open Source for Deep Neural Network Compiler for All Platforms

ds_unit4-

Colab Notebooks covering all learning objectives of DS Unit4

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fast-wavenet

Speedy Wavenet generation using dynamic programming :zap:

fastapi_basics

flask

gedi

GeDi: Generative Discriminator Guided Sequence Generation

giotto-tda

A high performance topological machine learning toolbox in Python

graduation

$ git remote <graduation> yearbook

image-captions

BERT + Image Captioning

image_captionate_pytorch

image_captioning_flickr_dataset_pytorch

Image captioning on Flickr Dataset using Resnet50 and Inceptionnet_V3