Name: Vivek Talwar
Type: User
Company: International Institute of Information Technology, Hyderabad.
Bio: Research Interests : Multimodal Learning, Federated Learning, Continual Learning,
Mechanistic Interpretability.
distributed systems+ML+hpc acceleration
Twitter: gpubrr042
Location: Hyderabad, India
Vivek Talwar's Projects
The official implementation of the CVPR2021 paper: Decoupled Dynamic Filter Networks
Deaddict - A tool to fight Addiction & Substance Inebriety using Artificial Intelligence.
Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN architecture (DenseVNet, 3D Residual U-Net).
A library for classifying single-lead ECG waveforms as either Normal Sinus Rhythm, Atrial Fibrillation, or Other Rhythm.
DeepFaceLab is the leading software for creating deepfakes.
FREE Bootstrap 4 Portfolio Theme for Developers -
Django Pi Time is a Django project built for the Raspberry Pi to log user check-ins and check-outs on a local/home network
The program is specially developed by the devil to end the world and save the population from suffering!!
:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI
:factory: Collaboratively build, visualize, and design neural nets in browser
A collection of Google research projects related to Federated Learning and Federated Analytics.
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Collection of useful FFMPEG commands for processing audio and video files.
This repo contains notebook file of swin transformer and Vision transformer for Cifar-100 & Cifar-10 datasets.
Flask Application that serves as an image gallery
Flax is a neural network library for JAX that is designed for flexibility.
Flower - A Friendly Federated Learning Framework
Ganga is an easy-to-use frontend for job definition and management
Google Research
:rainbow: :camera: Gradient-weighted Class Activation Mapping (Grad-CAM) Demo
[ICCV 2017] Torch code for Grad-CAM
Pytorch implementation of High-Fidelity Generative Image Compression + Routines for neural image compression
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
Code for a six IR sensor based maze solving robot
Official implementation for IEEE:SMC 2021 paper "IMLE-Net: An Interpretable Multi-level Multi-channel Model for ECG Classification"
Medical Imaging Deep Learning library to train and deploy models on Azure Machine Learning and Azure Stack
Code release for Hoogeboom, Emiel, Jorn WT Peters, Rianne van den Berg, and Max Welling. "Integer Discrete Flows and Lossless Compression." Conference on Neural Information Processing Systems (2019).