chinglamchoi

Segmentation

U-Net Image segmentation on TCGA LGG Brain Tumour MRI Flair datset

skimage

Code for scikit-image issues

MakieGallery.jl

Documentation and Example Gallery for Makie

NNs_For_Differential_Eqs_and_Games

Neural Networks for solving Lotka Volterra & Tic Tac Toe

ACoL

Adversarial Complementary Learning for Weakly Supervised Object Localization

BeginnerPython

Scripts for teaching Python to beginners

BreastCancer

CaesarCipher

Caesar Cipher: Encryption and Decryption functions using ASCII

CAM

Class Activation Map with Pytorch

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

covid19

This is the repository for all of the code that necsi is writing about covid19, along with documentation.

DCGAN

DCGAN programs made during "Learning Generative Adversarial Networks", Udemy

Deeplab-Large-FOV

My Implementation of the deeplab_v1 (known as deeplab large fov)

drfi_matlab

MATLAB implementation of the paper Salient Object Detection: A Discriminative Regional Feature Integration Approach

FB_AI

HRNet-Semantic-Segmentation

High-resolution representation learning (HRNets) for Semantic Segmentation

maestro2

Maestro2.0

Makie

ml5-library

Friendly machine learning for the web! 🤖

MMdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

model-zoo

Please do not feed the models

OpenCV_Pygame

ITO see here

pytorch-openpose

pytorch implementation of openpose including Hand and Body Pose Estimation.

scalabel

scikit-image

Image processing in Python

SlightlyOffResnetOnCifar10

Screwed up resnet 18 implementation.... Some blocks are wrong... This was my first attempt implementing something based on a paper using Pytorch, hope I'm much better now!

snip

Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.

tfjs-models

Pretrained models for TensorFlow.js

Trajectron-plus-plus

Code accompanying "Trajectron++: Multi-Agent Generative Trajectory Forecasting With Heterogeneous Data for Control" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).