karthik19967829

16-884.github.io

apiwebchat

BOT Framework style custom web chat for api.ai agent.

AudioDec

An Open-source Streaming High-fidelity Neural Audio Codec

Ballerina

This repo has code base thats a fusion of BOLAA and Webarena to be build hyper-personalized agents that are aligned to your life-goals

BOLAA

chatbot-facebook-nodejs

codingInterview

coding interview brushup

DSTC11-Benchmark

InferDoc

Generate SQUAD style dataset from raw text file and train a transformer based question answering model .This repo has code from https://github.com/facebookresearch/UnsupervisedQA and https://github.com/deepset-ai/haystack

Unsupervised-Learning

This repository consists of the unsupervised clustering techniques to used to develop a social networking platform in an educational institute.

karthik19967829/InferDoc

Generate SQUAD style dataset from raw text file and train a transformer based question answering model .This repo has code from https://github.com/facebookresearch/UnsupervisedQA and https://github.com/deepset-ai/haystack

karthik19967829/DSTC11-Benchmark

karthik19967829/16-884.github.io

karthik19967829/AudioDec

An Open-source Streaming High-fidelity Neural Audio Codec

karthik19967829/Ballerina

This repo has code base thats a fusion of BOLAA and Webarena to be build hyper-personalized agents that are aligned to your life-goals

karthik19967829/BOLAA

karthik19967829/codingInterview

coding interview brushup

karthik19967829/denoiser

Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.

karthik19967829/espnet

End-to-End Speech Processing Toolkit

karthik19967829/espnet_onnx

Onnx wrapper for espnet infrernce model

karthik19967829/externalcolabcode

karthik19967829/FastChat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

karthik19967829/hexa

Discovering and Achieving Goals via World Models, NeurIPS 2021

karthik19967829/hexa-benchmark

karthik19967829/karthik19967829.github.io

karthik19967829/LongLoRA

Code and documents of LongLoRA and LongAlpaca

karthik19967829/mmml-course

karthik19967829/MultiBench

[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning

karthik19967829/NexusRaven

NexusRaven-13B, a new SOTA Open-Source LLM for function calling. This repo contains everything for reproducing our evaluation on NexusRaven-13B and baselines.

karthik19967829/NexusRaven-V2

karthik19967829/pydmps

karthik19967829/Retrieval-based-Voice-Conversion-WebUI

Voice data <= 10 mins can also be used to train a good VC model!

karthik19967829/s3prl

Self-Supervised Speech Pre-training and Representation Learning Toolkit.

karthik19967829/sharedtask-dialdoc2021

doc2dial data includes a set of documents from multiple domains; and conversations between an assisting agent and an end user that are grounded in the associated documents.

karthik19967829/shinjiwlab.github.io

karthik19967829/soundstorm-speechtokenizer

Implementation of SoundStorm built upon SpeechTokenizer.

karthik19967829/SpeechTokenizer

This is the code for the SpeechTokenizer presented in the SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models. Samples are presented on

karthik19967829/vocode-python

🤖 Build voice-based LLM agents. Modular + open source.

karthik19967829/WCN-BERT

Jointly encoding word confusion networks (WCNs) and dialogue context with BERT for spoken language understanding (SLU).

karthik19967829/zeno-build

Build, evaluate, analyze, and understand LLM-based apps