Popular GitHub Repositories for Binary Classifier

100 Days of ML Coding

LLM API 管理 & 分发系统，支持 OpenAI、Azure、Anthropic Claude、Google Gemini、DeepSeek、字节豆包、ChatGLM、文心一言、讯飞星火、通义千问、360 智脑、腾讯混元等主流模型，统一 API 适配，可用于 key 管理与二次分发。单可执行文件，提供 Docker 镜像，一键部署，开箱即用。LLM API management & key redistribution system, unifying multiple providers under a single API. Single binary, Docker-ready, with an English UI.

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

Reverse Engineering: Decompiling Binary Code with Large Language Models

Tensorflow prebuilt binary for Windows

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

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

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.

A plugin for IDA that can help to analyze binary file, it can be based on commonly used AI big models such as OpenAI and DeepSeek.

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/