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Thiya's Projects

colossalai icon colossalai

Colossal-AI: A Unified Deep Learning System for Large-Scale Parallel Training

comet icon comet

A Neural Framework for MT Evaluation

commongen icon commongen

A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning

commonregex icon commonregex

A collection of common regular expressions bundled with an easy to use interface.

compare-mt icon compare-mt

A tool for holistic analysis of language generations systems

composer icon composer

library of speed-up algorithms for model training

comprehensive-e2e-tts icon comprehensive-e2e-tts

A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate E2E-TTS

comprehensive-transformer-tts icon comprehensive-transformer-tts

A Non-Autoregressive Transformer based TTS, supporting a family of SOTA transformers with supervised and unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate TTS.

computervision icon computervision

The repository is dedicated towards the implementation of Computer Vision.

concatbert icon concatbert

Baseline model for multimodal classification based on images and text. Text representation obtained from pretrained BERT base model and image representation obtained from VGG16 pretrained model.

concept icon concept

Concept Modeling: Topic Modeling on Images and Text

concise-concepts icon concise-concepts

This repository contains an easy and intuitive approach to few-shot NER using most similar expansion over spaCy embeddings. Now with entity scoring.

concrete-ml icon concrete-ml

Concrete-ML is a Privacy-Preserving Machine Learning (PPML) open-source set of tools which aims to simplify the use of fully homomorphic encryption (FHE) for data scientists. Particular care was given to the simplicity of our Python package in order to make it usable by any data scientist, even those without prior cryptography knowledge.

condenser icon condenser

EMNLP 2021 - Pre-training architectures for dense retrieval

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