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holliemin9090's Projects

agents icon agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

alphapose icon alphapose

Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

amasss_cbct icon amasss_cbct

Automatic segmentation of CBCT scans with a 3D Unet

blip icon blip

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

boundary-loss icon boundary-loss

Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.

brainstorm icon brainstorm

Implementation of "Data augmentation using learned transforms for one-shot medical image segmentation"

capsule-networks icon capsule-networks

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

dcgan-keras icon dcgan-keras

Simple DCGAN implemented in Keras, tested primarily for landscape paintings

deep-q-network icon deep-q-network

Keras implementation of DQN for the MsPacman-v0 OpenAI Gym environment.

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

deepspeech icon deepspeech

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

docs icon docs

TensorFlow documentation

dropblock icon dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

efficientvit icon efficientvit

EfficientViT is a new family of vision models for efficient high-resolution vision.

grounded-segment-anything icon grounded-segment-anything

Grounded-SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything

hcc-segmentation icon hcc-segmentation

Automatic Liver Tumor Segmentation on Dynamic Contrast Enhanced MRI Using 4D Information: Deep Learning Model Based on 3D Convolution and Convolutional LSTM

icvae icon icvae

Theano implementation of ICVAE

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