Anandakumar Singaravelan's Projects
Config files for my GitHub profile.
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
πΈπ¬ - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Model API for GALACTICA
Interactive Widgets for the Jupyter Notebook
Harness the power of NVIDIA technologies and LangChain to create dynamic avatars from live speech, integrating RIVA ASR and TTS with Audio2Face for real-time, expressive digital interactions.
AI Toolkit for Healthcare Imaging
MOSS is a conversational language model like ChatGPT.
NeMo: a toolkit for conversational AI
The fundamental package for scientific computing with Python.
Optimal Motion Generation-tools: motion planning made easy
In many parts of the world, healthcare inaccessibility is a significant problem, especially for marginalized communities such as low-income individuals, ethnic minorities, and those living in rural areas. This app provides online access to quick medical advice for those who need it.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Create and edit diagrams in ChatGPT
Texture Classification project created as a part of the individual research project under the guidance of Dr (Prof) Dapeng Wu of the department of Electrical and Computer Engineering in the University of Florida
Source code for Twitter's Recommendation Algorithm
π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Time Series Change Point Detection based on Contrastive Predictive Coding
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
π§ +π§ Build your music algorithms and AI models with the next-gen DAW π₯
The "REST With Spring" Course:
Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"