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Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
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
Natural Language Processing Tutorial for Deep Learning Researchers
llama3 implementation one matrix multiplication at a time
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…
Build your neural network easy and fast, 莫烦Python中文教学
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
Awesome-pytorch-list 翻译工作进行中......
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit a…
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
Sentiment Analysis with LSTMs in Tensorflow
Implementing Siamese networks with a contrastive loss for similarity learning
骆驼:A Chinese finetuned instruction LLaMA. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技
Materials for DGL hands-on tutorial in WWW 2020
Master classic RL, deep RL, distributional RL, inverse RL, and more using OpenAI Gym and TensorFlow with extensive Math
A PyTorch reimplementation of bottom-up-attention models
💫 Jupyter notebooks for spaCy examples and tutorials
TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest De…
Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"
Python code for building a text generator using LSTMs.