Python Classes Without Boilerplate
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Python Classes Without Boilerplate
Convolutional Neural Network for Text Classification in Tensorflow
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
A collection of important graph embedding, classification and representation learning papers with implementations.
Accelerated deep learning R&D
The machine learning toolkit for time series analysis in Python
Deep neural network to extract intelligent information from invoice documents.
A collection of research papers on decision, classification and regression trees with implementations.
SOTA-Class TTS at Compact Scale
An open source library and framework for deep learning on satellite and aerial imagery.
Inspects Python source files and provides information about type and location of classes, methods etc
A recurrent neural network designed to generate classical music.
A curated list of data mining papers about fraud detection.
Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.
MLBox is a powerful Automated Machine Learning python library.
Simple and powerful factories for mock data generation
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
NFStream: a Flexible Network Data Analysis Framework.
Modern Python library for HTTP security headers with safe defaults, configurable presets, and first-class ASGI/WSGI middleware (FastAPI, Django, Flask, Shiny, and more).
A curated list of gradient boosting research papers with implementations.
A scikit-learn based module for multi-label et. al. classification
The Classical Language Toolkit
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.