The fastai deep learning library

Instruct-tune LLaMA on consumer hardware

The "Python Machine Learning (1st edition)" book code repository and info resource

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supportin…

Python code for "Probabilistic Machine learning" book by Kevin Murphy

Efficient Image Captioning code in Torch, runs on GPU

links to conference publications in graph-based deep learning

Python-based tools for document analysis and OCR

Tutorials for creating and using ONNX models

Easily compute clip embeddings and build a clip retrieval system with them

Tutorials and implementations for "Self-normalizing networks"

Port of Single Shot MultiBox Detector to Keras

A small C++ implementation of LSTM networks, focused on OCR.

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

LUKE -- Language Understanding with Knowledge-based Embeddings

semantic similarity framework for knowledge graph

An example of doing MovieLens recommendations using triplet loss in Keras

A Keras model that addresses the Quora Question Pairs dyadic prediction task.

ccf2016 sougou final winner solution

The data is the future of oil, digging the potential value of the data is very meaningful. This library records my road of machine learning study.

Auxiliary Classifier Generative Adversarial Networks in Keras

Enriching BERT with Knowledge Graph Embedding for Document Classification (PyTorch)

微信大数据2021 1st，qq浏览器2021 3rd，mind新闻推荐2020 1st，NAIC2020 AI+遥感影像 2nd

Zero-shot image tagging by hierarchical semantic embedding