Popular GitHub Repositories for Email Classifier

100 Days of ML Coding

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

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.

Text Classification Algorithms: A Survey

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.

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

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

HumanLayer enables AI agents to communicate with humans in tool-based and async workflows. Guarantee human oversight of high-stakes function calls with approval workflows across slack, email and more. Bring your LLM and Framework of choice and start giving your AI agents safe access to the world. Agentic Workflows, human in the loop, tool calling

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

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

Real-Time Spatio-Temporally Localized Activity Detection by Tracking Body Keypoints