I train large neural networks in the fields of Self-supervised Learning, Vision-Language Models, and Multimodal Representation Learning.
Publication |
Domain |
Contributors |
Status |
Dense Art Style Recognition with Self-supervised Ensemble of Auto-Encoding Transformations |
Computer Vision, Self-Supervision |
Akshay Joshi, Ankit Agrawal, Sushmita Nair |
Link |
Hybrid Machine Learning Seminar: Learning like humans with Deep Symbolic Networks |
Computer Vision, Deep Learning, Symbolic AI |
Akshay Joshi |
Link |
Projects |
Tech Stack |
Contributors |
Research Portfolio Website |
Hugo, HTML, CSS, JS, Markdown, Python, Netlify, Cloudflare, CI/CD |
Akshay Joshi |
Socket Programming - File Transfer Simulation with Integrity Check |
Python, Hashlib, Socket Programming, TCP |
Akshay Joshi, Jan Stieling |
Covid-19 Tweets Sentiment & Exploratory Data Analysis with LSTM and Denoising Autoencoder |
Python, NLTK, NumPy, Scikit-learn, XGBoost, PyTorch, Docker |
Akshay Joshi |
Event Driven Pedestrian & Vehicle Detection |
Python, YOLO, OpenCV, NumPy, Docker, TQDM |
Akshay Joshi, Puneeth Kouloorkar, Poojitha Vijayanarasimha |
Open Domain Question Answering with End-to-End Memory Networks |
Python, Keras, NLTK, Deep Neural Networks, NumPy, Knowledge Graphs |
Akshay Joshi |
Spoken Language Recognition and Exploratory Data Analysis |
Python, Scikit-learn, NumPy, MatplotLib, SciPy |
Akshay Joshi |
Multi-stage Information Retrieval & Ranking System |
Python, NLTK, BeautifulSoup4, LXML, BM25, NumPy |
Akshay Joshi, Ankit Agrawal |