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feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

fixmatch

A simple method to perform semi-supervised learning with limited data.

gcn_metric_learning

Metric Learning with Graph Convolutional Neural Networks

google-research

Google Research

grounded-segment-anything

Marrying Grounding DINO with Segment Anything & Stable Diffusion & BLIP & Whisper & ChatBot - Automatically Detect , Segment and Generate Anything with Image, Text, and Audio Inputs

groundingdino

The official implementation of "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

groupvit

Official PyTorch implementation of GroupViT: Semantic Segmentation Emerges from Text Supervision, CVPR 2022.

hyperparameter-optimization-of-machine-learning-algorithms

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

image_segmentation

pytorch Implementation of U-Net, R2U-Net, Attention U-Net, Attention R2U-Net.

kaggle_crowdflower

1st Place Solution for Search Results Relevance Competition on Kaggle (https://www.kaggle.com/c/crowdflower-search-relevance)

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks

keras-grad-cam

An implementation of Grad-CAM with keras

loadcaffe

Load Caffe networks in Torch7

lrslibrary

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

lsm

LSM: Learning Subspace Minimization for Low-Level Vision (CVPR'2020)

mae

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

mddanalysis

ML analysis on MDD data

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mnist-cluttered

ms-d_net_pytorch

PyTorch implementation of Mixed-Scale Dense Convolutional Neural Network (MS-D Net) for Image Analysis

msclip

Official Code of ECCV 2022 paper MS-CLIP

neural-style

Torch implementation of neural style algorithm

pix2pix

Image-to-image translation with conditional adversarial nets

planercnn

PlaneRCNN detects and reconstructs piece-wise planar surfaces from a single RGB image

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pygcn

Graph Convolutional Networks in PyTorch

pytorch-deep-learning

Deep Learning (with PyTorch)

pytorch-grad-cam

PyTorch implementation of Grad-CAM

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.