Yonk Shi (yonkshi)

yonkshi

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Location:San Diego, CA

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Yonk Shi's repositories

text2imageNet

Generate image from text with Generative Adversarial Network

SPAIR_pytorch

pytorch implementation of Spatially Invariant Unsupervised Object Detection with VAE

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TARS

Top-notch Automatic speech Recognition System (TARS)

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gym-minigrid

Minimalistic gridworld environment for OpenAI Gym

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MultiDigitMNIST

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

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ansible-django-stack

Ansible Playbook for setting up a Django app with Nginx, Gunicorn, PostgreSQL, Celery, RabbitMQ, Supervisor, Virtualenv, and Memcached. A Vagrantfile for provisioning a VirtualBox virtual machine is included as well.

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bulb

Benchmarking Unsupervised Learning with pyBullet

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cheatsheets

Official Matplotlib cheat sheets

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cocoapi

COCO API - Dataset @ http://cocodataset.org/

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detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

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django-guardian

Per object permissions for Django

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pcae

Point Cloud Gaussian Mixture Models and Shape Completion with Auto-encoder embeddings

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pgoapi

Pokemon Go API lib

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python

PubNub Python-based APIs for core Python, Twisted, and Tornado

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ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

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segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

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SLIP

Code release for SLIP Self-supervision meets Language-Image Pre-training

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sngan.pytorch

An unofficial Pytorch implementation of SNGAN, achieving IS of 8.21 and FID of 14.21 on CIFAR-10.

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spinningup

An educational resource to help anyone learn deep reinforcement learning.

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stable-baselines3

PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.

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symbolworld

Reinforcement learning environment designed for symbol acquisition and generalization.

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urban_dl

deel learning project on monitoring urban development. Data source: Sentinel 2A/B EO satellites

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xView2_first_place

1st place solution for "xView2: Assess Building Damage" challenge.

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