guitarmind

tesseract-web-service

An implementation of RESTful web service for tesseract-OCR using tornado

kaggle_moa_winner_hungry_for_gold

Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.

U-Mamba

U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

reinforcement_learning_in_python

Practice Code for the "Reinforcement Learning in Python" Course in Udemy.

ai4code-baseline

Early solution for Google AI4Code competition

ANTsPy

Advanced Normalization Tools in Python

audioset_tagging_cnn

bi-lstm-crf

A PyTorch implementation of the BI-LSTM-CRF model.

ConstraintGraph4NSO

AAAI 2021: Neural Sentence Ordering Based on Constraint Graphs

DeepInsight

A methodology to transform a non-image data to an image for convolution neural network architecture

dockerfiles

Useful Dockerfiles made for different purposes.

EEG-ATCNet

Attention temporal convolutional network for EEG-based motor imagery classification

elastic-infogan

Official PyTorch implementation of Elastic-InfoGAN [NeurIPS 2020]

HPA-competition-solutions

Team original solutions for the Human Protein Atlas image classification competition

improved-bagan-gp

Generate high quality images for each class even with an imbalanced dataset. An improved version of Balancing GAN.

installation_files

LearnablePromptSAM

Try to use the SAM-ViT as the backbone to create the learnable prompt for semantic segmentation

mega.pytorch

Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020

MLPrimitives

Primitives for machine learning and data science.

Open-GroundingDino

This is the third party implementation of the paper Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection.

Orion

A machine learning library for detecting anomalies in signals.

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

RareGAN

[AAAI 2022] RareGAN: Generating Samples for Rare Classes

SegFormer

Official PyTorch implementation of SegFormer

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

timeseriescv

Scikit-learn style cross-validation classes for time series data

UniAD

[NeurIPS 2022 Spotlight] A Unified Model for Multi-class Anomaly Detection

yolor

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS