Popular GitHub Repositories for Balanced Log Loss

100 Days of ML Coding

An open source implementation of CLIP.

File Parser optimised for LLM Ingestion with no loss ? Parse PDFs, Docx, PPTx in a format that is ideal for LLMs.

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

Context aware, pluggable and customizable data protection and de-identification SDK for text and images

Siamese and triplet networks with online pair/triplet mining in PyTorch

MiniMax-01 is a simple implementation of the MiniMax algorithm, a widely used strategy for decision-making in two-player turn-based games like Tic-Tac-Toe. The algorithm aims to minimize the maximum possible loss for the player, making it a popular choice for developing AI opponents in various game scenarios.

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??? 专注于YOLO11，YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules?

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

A large collection of system log datasets for AI-driven log analytics [ISSRE'23]

A machine learning toolkit for log parsing [ICSE'19, DSN'16]

:dart: Task-oriented embedding tuning for BERT, CLIP, etc.

Code for the Lovász-Softmax loss (CVPR 2018)

A machine learning toolkit for log-based anomaly detection [ISSRE'16]

Live training loss plot in Jupyter Notebook for Keras, PyTorch and others

Nerdlog: fast, remote-first, multi-host TUI log viewer with timeline histogram and no central server

Implementation of triplet loss in TensorFlow