tosemml,Dom,github

archai

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

artificial-text-detection

Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.

audio

Data manipulation and transformation for audio signal processing, powered by PyTorch

audio-retrieval

Implementation of "Audio Retrieval with Natural Language Queries", INTERSPEECH 2021, PyTorch

audiolm-pytorch

Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch

ba-transformer

[MICCAI 2021] Boundary-aware Transformers for Skin Lesion Segmentation

beyondml

Software for developing sparse, performant, multitask artificial neural networks

breaching

Breaching privacy in federated learning scenarios for vision and text

calamari

Line based ATR Engine based on OCRopy

cde-gan

Official PyTorch Implementation of CDE-GAN (TEVC'21)

clip-retrieval

Easily compute clip embeddings and build a clip retrieval system with them

clipbert

[CVPR 2021 Best Student Paper Honorable Mention, Oral] Official PyTorch code for ClipBERT, an efficient framework for end-to-end learning on image-text and video-text tasks.

codet5

Home of CodeT5: Open Code LLMs for Code Understanding and Generation

codetrek

A powerful relational representation of source code

commit-autosuggestions

A tool that AI automatically recommends commit messages.

deep-active-learning

An implementation of the state-of-the-art Deep Active Learning algorithms

deepcad

code for our ICCV 2021 paper "DeepCAD: A Deep Generative Network for Computer-Aided Design Models"

deepmosaic

DeepMosaic is a deep-learning-based mosaic single nucleotide classification tool without the need of matched control information.

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

dery

[NeurIPS2022] Deep Model Reassembly

detrex

detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dialogrpt

EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"

docee

🕹️ A toolkit for document-level event extraction, containing some SOTA model implementations.

encas

NAS + Cascades

entity_extractor_by_pointer

使用torch整合两种经典的指针NER抽取范式，分别是SpanBert和苏神的GlobalPointer，简单加了些tricks，配置后一键运行

equiformer-pytorch

Implementation of the Equiformer, SE3/E3 equivariant attention network that reaches new SOTA, and adopted for use by EquiFold for protein folding

explainable-cnn

📦 PyTorch based visualization package for generating layer-wise explanations for CNNs.

featuretools

An open source python library for automated feature engineering

food-recognition

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

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