NLTK Data

🤗 Evaluate: A library for easily evaluating machine learning models and datasets.

Qwen3 is the large language model series developed by Qwen team, Alibaba Cloud.

Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team.

IntelliJ plugin - https://plugins.jetbrains.com/plugin/2162

Static Type Checker for Python

❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119

Custom Postfix Templates for Intellij IDEA

Python logging made (stupidly) simple

An extremely fast Python package and project manager, written in Rust.

Python packaging and dependency management made easy

Gin provides a lightweight configuration framework for Python

🥣 AIGC 提示词可视化编辑器 | OPS | Open Prompt Studio

A plug-and-play library for parameter-efficient-tuning (Delta Tuning)

Implementation of "The Power of Scale for Parameter-Efficient Prompt Tuning"

Large-scale, Informative, and Diverse Multi-round Chat Data (and Models)

This is the oficial repository for "Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts" (EMNLP 2022)

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

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Flax is a neural network library for JAX that is designed for flexibility.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

torch-optimizer -- collection of optimizers for Pytorch

🚀 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

State-of-the-Art Text Embeddings

Learning to compose soft prompts for compositional zero-shot learning.

PyCharm plugin for pydantic. This plugin provides autocompletion, inspection, type-checking, inserting unfilled argument, and more.

Data validation using Python type hints