A scikit-learn compatible neural network library that wraps PyTorch

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Next-generation Albumentations: dual-licensed for open-source and commercial use

A script that can automatically finish daily tasks in Blue Archive (global/Japan/CN/CN bilibili server). 碧蓝档案国际服/日服/蔚蓝档案国服/B服每日任务脚本

给PDF添加大纲、目录。 Add or edit outline/contents/bookmark to PDF

Official Code of Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

The best ChatGPT that $100 can buy.

Accelerating your LLM training to full speed! Made with ❤️ by ServiceNow Research

Cleans Reddit Text Data 📜 🧹

🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

Implementation of Self-adjusting Dice Loss from "Dice Loss for Data-imbalanced NLP Tasks" paper

This repository contains notebooks that help with solving the multi-label classification problem using transformers.

Focal Loss implementation of the loss function proposed by Facebook AI Research to address class imbalance during training in tasks like object detection

🚀 智谱清言ChatGLM-4-Plus大模型逆向API【特长：超强智能体】，支持高速流式输出、支持智能体对话、支持多轮对话、支持沉思模型、支持Zero思考推理模型、支持视频生成、支持AI绘图、支持联网搜索、支持长文档解读、支持代码调用、支持图像解析，零配置部署，多路token支持，自动清理会话痕迹，仅供测试，如需商用请前往官方开放平台。

搜集免费的LLM（大语言模型）API（GPT、Claude、BingCopilot、Llama、Gemini）

Accessible large language models via k-bit quantization for PyTorch.

GPT-SoVITS ONNX Inference Engine & Model Converter

Code for the paper `Text Classification via Large Language Models`.

Self-Adapting Language Models

Tools for merging pretrained large language models.

Efficient few-shot learning with Sentence Transformers

Active Learning for Text Classification in Python

A fast classification and tagging tool using byte-level n-gram embeddings. bytesteady is a ServiceNow Research project that was started at Element AI.

Impact of typos and common misspellings on LLM task performance.

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