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xinhen's Projects

ruijin_round2 icon ruijin_round2

瑞金医院MMC人工智能辅助构建知识图谱大赛复赛

sam-tool icon sam-tool

利用Segment Anything(SAM)模型进行快速标注

sanic icon sanic

Async Python 3.6+ web server/framework | Build fast. Run fast.

sanic-jwt icon sanic-jwt

Authentication, JWT, and permission scoping for Sanic

scikit-opt icon scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

segment-anything icon segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

segment-geospatial icon segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

sentence-similarity icon sentence-similarity

PyTorch implementations of various deep learning models for paraphrase detection, semantic similarity, and textual entailment

seq2seq icon seq2seq

Minimal Seq2Seq model with Attention for Neural Machine Translation in PyTorch

seq2seq-1 icon seq2seq-1

Attention-based sequence to sequence learning

seq2seq-attn icon seq2seq-attn

Sequence-to-sequence model with LSTM encoder/decoders and attention

sequence-labeling-bilstm-crf icon sequence-labeling-bilstm-crf

The classical BiLSTM-CRF model implemented in Tensorflow, for sequence labeling tasks. In Vex version, everything is configurable.

shap-e icon shap-e

Generate 3D objects conditioned on text or images

simnet-1 icon simnet-1

Code for "simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image Captions" （EMNLP 2018）

simnet-2 icon simnet-2

基于numpy实现的简单神经网络框架

solid icon solid

🎯 A comprehensive gradient-free optimization framework written in Python

soundex icon soundex

Soundex Phonetic Code Algorithm Demo for Indian Languages. Supports all indian languages and English. Provides intra-indic string comparison

spearmint icon spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

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