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boruta_py

Python implementations of the Boruta all-relevant feature selection method.

breast_cancer_classifier

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

brio

ACL 2022: BRIO: Bringing Order to Abstractive Summarization

bros

browser-ml-inference

Edge Inference in Browser with Transformer NLP model

bulk

burn-detection-classification

Highly Accurate and Efficient Burn detection and Classification trained with Deep Learning Model

bvae-tts

Official implementation of BVAE-TTS

c4_200m-synthetic-dataset-for-grammatical-error-correction

This dataset contains synthetic training data for grammatical error correction. The corpus is generated by corrupting clean sentences from C4 using a tagged corruption model. The approach and the dataset are described in more detail by Stahlberg and Kumar (2021) (https://www.aclweb.org/anthology/2021.bea-1.4/)

cached_path

A file utility for accessing both local and remote files through a unified interface.

cait-tf

Implementation of CaiT models in TensorFlow and ImageNet-1k checkpoints. Includes code for inference and fine-tuning.

calm

cameracalibration

Fisheye or Normal Camera Intrinsic and Extrinsic Calibration. Surround Camera Bird Eye View Generator.

can-wikipedia-help-offline-rl

Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu

cantonese-asr

cantonese-selfish-project

Cantonese Selfish Project 廣東話自肥企劃 at PYCON HK 2021

capreolus

A toolkit for end-to-end neural ad hoc retrieval

captum

Model interpretability and understanding for PyTorch

carefree-creator

An AI-powered creator for everyone.

cargan

Official repository for the paper "Chunked Autoregressive GAN for Conditional Waveform Synthesis"

cartoongan-pytorch

Experimental CartoonGAN (Chen et.al.) implementation for quicker background generation for posters and new episodes

casd

caselaw_functional_segmentation_multilingual

This is an accompanying repository to the ICAIL 2021 paper entitled "Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains". All the data and the code used in the experiments reported in the paper are to be found here.

cataract-detection-and-classification

This project aim to a build system which helps in the detection of cataract and it's type with the use of Machine Learning and OpenCv algorithms with the accuracy of 96 percent.

catch-a-waveform

Official pytorch implementation of the paper: "Catch-A-Waveform: Learning to Generate Audio from a Single Short Example" (NeurIPS 2021)

categorical-vae

Categorical Variational Auto-encoders in PyTorch

category_encoders

A library of sklearn compatible categorical variable encoders

catr

Image Captioning Using Transformer

causal-bert-pytorch

Pytorch implementation of "Adapting Text Embeddings for Causal Inference"

causal-text-papers

Curated research at the intersection of causal inference and natural language processing.