tangypnuaa

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

DeCap

ICLR 2023 DeCap: Decoding CLIP Latents for Zero-shot Captioning

clip-text-decoder

Generate text captions for images from their embeddings.

KNKPAnime

KNKPAnime：支持多番剧源与弹幕的看番软件。

Toolkit-for-Prompt-Compression

Toolkit for Prompt Compression

coco-caption

pyDVL

pyDVL is a library of stable implementations of algorithms for data valuation and influence function computation

LLMSurvey

The official GitHub page for the survey paper "A Survey of Large Language Models".

ChatGPT-Next-Web

A cross-platform ChatGPT/Gemini UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT/Gemini 应用。

WeChatMsg

提取微信聊天记录，将其导出成HTML、Word、Excel文档永久保存，对聊天记录进行分析生成年度聊天报告，用聊天数据训练专属于个人的AI聊天助手

i

PicaComic

A comic app built with Flutter, supporting multiple comic sources.

LaTeX-OCR

pix2tex: Using a ViT to convert images of equations into LaTeX code.

DouZero

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

influenciae

👋 Influenciae is a Tensorflow Toolbox for Influence Functions

piano_transcription

influence-release

lightweight-neural-architecture-search

This is a collection of our zero-cost NAS and efficient vision applications.

Bag-of-tricks-for-learning-with-noisy-labels

Bag of tricks for learning with noisy labels

mvlearn

Python package for multi-view machine learning

A-Survey-of-Multi-view-Clustering-Approaches

A Survey and an Empirical Evaluation of Multi-view Clustering Approaches

Awesome-CLIP

Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).

CogView

Text-to-Image generation. The repo for NeurIPS 2021 paper "CogView: Mastering Text-to-Image Generation via Transformers".

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

GAN

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

awesome-multi-view-clustering

collections for advanced, novel multi-view clustering methods(papers , codes and datasets)

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

dvrl

Implementation of https://arxiv.org/pdf/1909.11671.pdf in PyTorch.