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ai-learn icon ai-learn

人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

ailearning icon ailearning

AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

chatglm3 icon chatglm3

ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

deepke icon deepke

An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.

fl-master icon fl-master

This is a simple available code for FL based on pytorch

knowprompt icon knowprompt

[WWW 2022] KnowPrompt: Knowledge-aware Prompt-tuning with Synergistic Optimization for Relation Extraction

llm-quickstart icon llm-quickstart

Quick Start for Large Language Models (Theoretical Learning and Practical Fine-tuning) 大语言模型快速入门(理论学习与微调实战)

mamba_small_bench icon mamba_small_bench

Trying out the Mamba architecture on small examples (cifar-10, shakespeare char level etc.)

nlp-progress icon nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

opennre icon opennre

An Open-Source Package for Neural Relation Extraction (NRE)

plmpapers icon plmpapers

Must-read Papers on pre-trained language models.

promptpapers icon promptpapers

Must-read papers on prompt-based tuning for pre-trained language models.

torch-template-for-deep-learning icon torch-template-for-deep-learning

Pytorch Implementations of large number classical backbone CNNs, data enhancement, torch loss, attention, visualization and some common algorithms.

transformer icon transformer

Transformer: PyTorch Implementation of "Attention Is All You Need"

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