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All Algorithms implemented in Python
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Models and examples built with TensorFlow
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A high-throughput and memory-efficient inference and serving engine for LLMs
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Interact with your documents using the power of GPT, 100% privately, no data leaks
TensorFlow code and pre-trained models for BERT
2025年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
💫 Industrial-strength Natural Language Processing (NLP) in Python
Graph Neural Network Library for PyTorch
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
State-of-the-Art Text Embeddings
Code samples for my book "Neural Networks and Deep Learning"
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Python package built to ease deep learning on graph, on top of existing DL frameworks.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
📝 A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion / autosuggestion
Speech recognition module for Python, supporting several engines and APIs, online and offline.
A collection of machine learning examples and tutorials.
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
⛽️「算法通关手册」：从零开始的「算法与数据结构」学习教程，200 道「算法面试热门题目」，1000+ 道「LeetCode 题目解析」，持续更新中！
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
Google AI 2018 BERT pytorch implementation