Popular GitHub Repositories for Cascade Classifier

100 Days of ML Coding

OpenMMLab Detection Toolbox and Benchmark

Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier

AI绘画资料合集（包含国内外可使用平台、使用教程、参数教程、部署教程、业界新闻等等） Stable diffusion、AnimateDiff、Stable Cascade 、Stable SDXL Turbo

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

A collection of research papers on decision, classification and regression trees with implementations.

C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON for ARM.

Text Classification Algorithms: A Survey

A free, open source, and privacy-focused browser extension to block “not safe for work” content built using TypeScript and TensorFlow.js.

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

Text classifier for Hierarchical Attention Networks for Document Classification

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

Natural language detection library for Rust. Try demo online: https://whatlang.org/

A curated list of gradient boosting research papers with implementations.

GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it

1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocular color images. Our contributions include: (a) A novel and compact 2D pose NSRM representation. (b) A human body orientation classifier and an ensemble of orientation-tuned neural networks that regress the 3D human pose by also allowing for the decomposition of the body to an upper and lower kinematic hierarchy. This permits the recovery of the human pose even in the case of significant occlusions. (c) An efficient Inverse Kinematics solver that refines the neural-network-based solution providing 3D human pose estimations that are consistent with the limb sizes of a target person (if known). All the above yield a 33% accuracy improvement on the