Akshay Joshi's repositories
Event-Driven-Pedestrian-Vehicle-Detection
Implementation of a real-time event-driven Vehicle Detection & Counting system using OpenCV & YOLO v3 (608 x 608)
COVID19-Tweet-Sentiment-Analysis-and-EDA
The COVID-19 Tweets dataset hosted on Kaggle has 92,276 unique tweets related to the COVID-19 pandemic. Each tweet containes the high-frequency hashtag (#covid19) and are scrapped using Twitter API. The dataset does not contain sentiment labels corresponding to each tweet. Thus, supervised learning (ML/DL) methods cannot be used directly for training on the dataset.
Deep_Self-Supervised_Art_Style_Recognition
Implementation of Auto Encoding Transformers for Art Style Recognition
Architectural-Thinking-for-AI-Systems
Designing a context-aware Intelligent Assistant using Deep-Q Learning as part of ATIS courseware at Saarland University
Open_Domain_Question_Answering
NLP project to implement a Deep Neural Question Answering System utilizing Knowledge Graphs and Wikipedia Corpus
cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
graph_neural_network
Implementation of a custom Sparse Adjacency Matrix (prior) for a Graph Neural Network classifier for MNIST
service-now-ai-challenge
ServiceNow AI Challenge
Statistical-NLP-Information-Retrieval-Project
Multi-stage Informational Retrieval & Ranking System developed as part of Statistical Natural Language Processing coursework
akshayjoshii
Special GitHub repository to demonstrate my projects, publications, and miscellaneous code contributions.
akshayjoshii.github.io
Repository contains code to develop my research portfolio website
LeetCode_Coding_Interview
Python solutions for Leet Code/GeeksforGeeks Interview Questions
machine-learning-interview
Minimum Viable Study Plan for Machine Learning Interviews from FAAG, Snapchat, LinkedIn.
message_queuing_telemetry_transport
MQTT Client application to simulate lightweight, publish-subscribe network protocol for IoT devices.
Saarland-HLCV-Assignment-3
Implementation of CNNs and finetuning pre-trained VGG-11 model on CIFAR
socket_programming
File Transfer Simulation with MD5 Hash Check
Speech-Recognition
Automated Speech Recognition, Manifold Learning & Agglomerative Clustering
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
DS-Cheet-Sheet
Cheat Sheet
learning_like_humans
Seminar on Hybrid Machine Learning
microservices-mesh
Containerized Microservice Mesh Development & Depolyment using Python, Flask, Docker & Kubernetes
pytorch-lightning
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning