adonaiw Goto Github PK

ai-writer

AI 写小说，生成玄幻和言情网文等等。中文预训练生成模型。采用我的 RWKV 模型，类似 GPT-2 。AI写作。RWKV for Chinese novel generation.

ai_writer

该项目可以根据用户给出的上文自动生成下文 该项目是本人的本科毕业设计。项目主要基于GPT-2 Chinese实现。本人的工作主要是用新的语料库进行了几次训练，得出来了一个还凑合的模型。该项目已经初步完成，不再进行进一步的更新。

chatrwkv

ChatRWKV is like ChatGPT but powered by RWKV (100% RNN) language model, and open source.

chinese_ner

中文命名实体识别：BERT-BiLSTM-CRF模型实现中文，数据集使用CLUENER2020

code-of-learn-deep-learning-with-pytorch

This is code of book "Learn Deep Learning with PyTorch"

gansnroses

Official PyTorch repo for GAN's N' Roses. Diverse im2im and vid2vid selfie to anime translation.

grokking-deep-learning

this repository accompanies the book "Grokking Deep Learning"

mask-rcnn-keras

这是一个mask-rcnn的库，可以用于训练自己的实例分割模型。

mt-unet

Official Code for *Mixed Transformer UNet for Medical Image Segmentation*

mybook

neo4j-kgbuilder

Neo4j+springboot+vue+d3.js知识图谱构建和可视化

nlp_book

project-code-py

Leetcode using AI

rwkv-lm-lora

RWKV is a RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

scene-graph-benchmark.pytorch

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

scisharp-stack-examples

Practical examples written in SciSharp's machine learning libraries

ssd-tf2

这是一个ssd-tf2（tensorflow2）的源码，可以用于训练自己的模型。

study_ml.net

微软机器学习框架ML.NET学习笔记。

tensorflow.net

.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

tf2-101

Repository for Book 《TensorFlow 2.0 入门实践》

wenda

闻达：一个LLM调用平台。为小模型外挂知识库查找和设计自动执行动作，实现不亚于于大模型的生成能力

yolov5-pytorch

这是一个YoloV5-pytorch的源码，可以用于训练自己的模型。

yolov5-tf2

这是一个YoloV5-tensorflow2的源码，可以用于训练自己的模型。