edsr-pytorch

PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)

efficient_python_tricks_and_tools_for_data_scientists

Efficient Python Tricks and Tools for Data Scientists

efficientdet-pytorch

A PyTorch impl of EfficientDet faithful to the original Google impl w/ ported weights

efficientnet-pytorch

A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

entity

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

etri_segmentation

Semantic Segmentation for Art Domain with Semi-Supervised Learning with Transformer Backbone.

ganlab

GAN Lab: An Interactive, Visual Experimentation Tool for Generative Adversarial Networks

geoviewer

An online, lightweight, and user-friendly geographical information visualizer.

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

gmflow

[CVPR 2022 Oral] GMFlow: Learning Optical Flow via Global Matching

guided-i2i-translation-papers

Guided Image-to-Image Translation Papers

hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

hat

Arxiv2022 - Activating More Pixels in Image Super-Resolution Transformer

hub

A library for transfer learning by reusing parts of TensorFlow models.

ide-fsnn

[NeurIPS 2021] Training Feedback Spiking Neural Networks by Implicit Differentiation on the Equilibrium State

jonychoi

Jonathan Choi

jonychoi.github.io

What is a Real Lab

kmeans_em_segmentation

Grayscale image segmentation with KMeans and Gaussian Mixture Model Algortithm

learned-loss

lets-over-the-layers-lol

Neural Weighting optimization using "Pseudo Attention" architecture over whole network.

lightweight-segmentation

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

linear-algebra

End to End study scripts with code implementing with Numpy, base on MIT Gilbert Strang Lecture.

linear-algebra-1

Linear Algebra with JavaScript

loop_tool

A thin, highly portable toolkit for efficiently compiling dense loop-based computation.

lung-ct-classifier

Research for Classification of lung cancer with the dataset of Lung_CT by Tensorflow2.0.

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

mask2former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mildlyoverfitted

Paper implementations from scratch and machine learning tutorials

mingpt

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training