Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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…

LAVIS - A One-stop Library for Language-Vision Intelligence

This repository contains demos I made with the Transformers library by HuggingFace.

Taming Transformers for High-Resolution Image Synthesis

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

A Unified Library for Parameter-Efficient and Modular Transfer Learning

MagFace: A Universal Representation for Face Recognition and Quality Assessment, CVPR2021, Oral

扩散模型原理和pytorch代码实现初学资料汇总

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

The implementation of 'M3Net: Multilevel, Mixed and Multistage Attention Network for Salient Object Detection'.

A Natural Language Processing based project that aims at categorizing e-commerce products based on their description using Machine Learning and Deep Learning techniques (implemented using PyTorch).