pytorch

Generate fake restaurant reviews with GPT-2 using Yelp Dataset

Utils and modules for Speech Language and Multimodal processing using pytorch and pytorch lightning

A fine-tuning SDK — any open model, any harness, any method. 12 training methods behind one argument; pure-stdlib core.

PLMFit platform for TL on PLMs

基于YOLOV8的人脸检测模型，从huggingface上面下载，通过gradio进行部署，实现输入图片的URL或者上传图片，模型检测出所有的人脸，并返回位置信息

The traditional machine learning models give a lot of pain when we do not have sufficient labeled data for the specific task or domain we care about to train a reliable model. Transfer learning allows us to deal with these scenarios by leveraging the already existing labeled data of some related task or domain. We try to store this knowledge gained in solving the source task in the source domain and apply it to our problem of interest. In this work, I have utilized Transfer Learning utilizing BertForSequenceClassification model. Also tried RobertaForSequenceClassification and XLNetForSequenceClassification models for Fine-Tuning the Model.

LLM fine-tuning with LoRA + NVFP4/MXFP8 on NVIDIA DGX Spark (Blackwell GB10)

A Deep Learning project that uses Diffusion transformers (DiT) to generate Grand Theft Auto V driving footage

模式识别课设代码：图文生成（CLIP+DALLE+BriVL）

Implementation of build an LLM from scratch by Sebastian Raschka.

huggingface dataset with remote download support

How to build a multi-label sentiment classifiers with Tez and PyTorch

RAG system with real-time news scraping built using mixtral-8x7b, ChromaDB, bart summarizer

[ECCV 2022] Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation

Fast, config-driven SDXL LoRA & DreamBooth fine-tuning — train from a single YAML file. QLoRA + torch.compile.

Deferred Continuous Batching in Resource-Efficient Large Language Model Serving (EuroMLSys 2024)

Official GitHub repository for Phison aiDAPTIV. NAND cache memory-boosted AI inference and LLM fine-tuning platform.

Code for reproducing the experiments on large-scale pre-training and transfer learning for the paper "Effect of large-scale pre-training on full and few-shot transfer learning for natural and medical images" (https://arxiv.org/abs/2106.00116)

Convenient Text-to-Text Training for Transformers

KAREN: Unifying Hatespeech Detection and Benchmarking