Popular GitHub Repositories for Classifier Chains

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

使用 Prompts 和 Chains 让 ChatGPT 成为神奇的生产力工具！Unlocking the power of LLMs.

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

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

LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.

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.

A curated list of gradient boosting research papers with implementations.

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

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