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cs188-proj6-machinelearning

CS188 Project 6: Neural Network

cs188-project5-machinelearning

cs188-projects

CS188 Artificial Intelligence @UC Berkeley

cs188_course_projects

CS188 Introduction to Artificial Intelligence - Project Code

csc665-multi-agent-pacman

dataaspirant_codes

Complete machine learning model codes

deep-q-atari

Keras and OpenAI Gym implementation of the Deep Q-learning algorithm to play Atari games.

hate-speech-and-offensive-language-identification

Project on the HASOC-Offensive Language Identification FIRE 2020 tasks, which includes a message-level classification task that classifying a twitter comment into the offensive (OFF) or Not-offensive (NOT) language. To achieve this goal, in this project, we propose an ensemble model which makes full use of the information of rich sequential patterns. More precisely, the proposed model contains combined model of BERT and SVM. Achieved the F1 values of 0.51 and ranked 5th.

helloq1

hmmm

identifying-hate-speech-in-social-media

Our aim in this project is to identify if a comment is toxic or not and flag toxic comments for removal. Toxic remarks are ubiquitous in Facebook pages, Instagram and YouTube comments, tweets and reddit threads.

imad-2016-app

lstm_variable_lenght_input_sequence

Using keras library for applying LSTM on variable length input sequence

multi-agent-pac-man

onlinebookstore

An online bookstore web application developed using Vue.js, Tomcat, and Java would provide a convenient and user-friendly platform for users to discover and purchase books online.

smart-bus-tracking

Track the bus from anywhere in the city (USER APP)

smartbustransportsystem

The proposed design attempts to answer the passenger’s need for a reliable, accurate and comprehensive system that provides them with useful information like dynamic and accurate bus timings, number of available seats, number of buses travelling through a particular route, notifying the user when the bus is at a nearby stop and bus live tracking.

system-design

Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems theory to product development.

tensorflow-resnet

ResNet model in TensorFlow

test

tf-rnn-attention

Tensorflow implementation of attention mechanism for text classification tasks.

ud843-quakereport

Discover earthquake activity around the world.

vt

Graduate Courses. Projects Research paper findings