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2022-machine-learning-specialization

3d_scatteringmatrix_rcwa

albert-embryology

annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

article-downloader

Uses publisher APIs to programmatically retrieve scientific journal articles for text mining.

attenuation_length

autoxgb

XGBoost + Optuna

awesome-visual-transformer

Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)

basic_machine_learning_algorithms

Implementation of Basic Machine Learning Algorithms on small datasets using Scikit Learn.

benchmark-problems-in-machine-learning-using-phishingdataset

The objective of the project is to implement some of the popular methodologies under supervised learning for solving the machine learning problem on Phishing dataset. The main aim of the project is to solve the multiclass classification problem using supervised learning methods like SVM, Neural Networks, Naïve Bayes, Decision Tree and Random Forest

benchmarking-keras-pytorch

🔥 Reproducibly benchmarking Keras and PyTorch models

chroma

the AI-native open-source embedding database

classification_models

Classification models trained on ImageNet. Keras.

coco-annotator

:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

colorrcmc

Colored Radiative Cooling Coatings with Nanoparticles

concrete-compressive-strength

Concrete Compressive Strength Prediction using Machine Learning

conductive_heat_transferfall-2023-mem-611

Conductive Heat Transfer

crack-detection

Implementation of Improving the Efficiency of Encoder-Decoder Architecture for Pixel-level Crack Detection. keras with tensorflow backend. https://ieeexplore.ieee.org/document/8938810

crack-detection-and-segmentation-dataset-for-uav-inspection

:fire: :muscle: Crack-Detection-and-Segmentation-Dataset-for-UAV-Inspection

crack-detection-opencv

Crack Detection On Highway Or Pavement Using OpenCV

crack_detection_cnn_masonry

This GitHub Repository was produced to share material relevant to the Journal paper "Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning" by D. Dais, İ. E. Bal, E. Smyrou, and V. Sarhosis published in "Automation in Construction".

crackpy

Crack Analysis Tool in Python (CrackPy) - automatic detection and fracture mechanical analysis of (fatigue) cracks using digital image correlation

crackseg9k

[ECCV W 2022] "CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks" by Shreyas Kulkarni, Shreyas Singh, Dhananjay Balakrishnan, Siddharth Sharma, Saipraneeth Devunuri, Sai Chowdeswara Rao Korlapati.

cracksegmentationdeeplearning

Multiscale Attention Based Efficient U-Net for Crack Segmentation, segments a RGB image into 2 classes crack and non-crack, this method obtained SOTA results on Crack500 dataset

cs-self-learning

计算机自学指南

cs229

cs231n

CS231n assignment

cs231n-assignment

CS231n编程作业

cs50p-introduction-of-python

Harvard CS50 Python — 2022 Solutions

cs50x

Harvard CS50x — 2022 Solutions