Shikhar Bharadwaj
Shikhar-S
PhD Student at CMU | Ex Google DeepMind
Languages
Repos
74
Stars
31
Forks
10
Top Language
Python
Loading contributions...
Top Repositories
Contains pytorch implementation of Transformer and EvolvedTransformer architectures. WIP
A preprocessing guide for NLP with python.
Implementation of Document Level Multi Aspect Sentiment Classification for Online Reviews of Medical Experts
End-to-End Speech Processing Toolkit
Repositories
74Audio-GeoLocalization Benchmark
End-to-End Speech Processing Toolkit
Omnilingual ASR Open-Source Multilingual SpeechRecognition for 1600+ Languages
Website for the CMU Language Change and Empirical Linguistics Lab
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
PSELDNets: Pre-trained Neural Networks on Large-scale Synthetic Datasets for Sound Event Localization and Detection
No description provided.
Versatile Evaluation of Speech and Audio
Contains pytorch implementation of Transformer and EvolvedTransformer architectures. WIP
No description provided.
No description provided.
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A tool for transcribing orthographic text as IPA (International Phonetic Alphabet)
No description provided.
Pull whale sounds from WHOI database
PyTorch implementation of Audio Flamingo: A Novel Audio Language Model with Few-Shot Learning and Dialogue Abilities.
No description provided.
SpeechCLIP: Integrating Speech with Pre-Trained Vision and Language Model, Accepted to IEEE SLT 2022
This repo hosts the code and models of "Masked Autoencoders that Listen".
No description provided.
Mind the Gap: Understanding the Modality Gap in Multi-modal Contrastive Representation Learning
Implementation of Document Level Multi Aspect Sentiment Classification for Online Reviews of Medical Experts
A preprocessing guide for NLP with python.
No description provided.
CodeBERT
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
Pretrained TorchVision models on CIFAR10 dataset (with weights)
No description provided.
A web scaper written in Python to extract accepted solutions on https://cses.fi
KTH Algorithm Competition Template Library (... eller KTHs AC-tillverkande lapp)