pytorch

A practical lab for exploring Apple's Core AI framework, model assets, specialization, and on-device inference.

Upscaling Karlo text-to-image generation using Stable Diffusion v2.

Learn Agentic AI, Deep Learning, Agentic Engineering, RAG and Multi-Agent Workflows.

Our open source implementation of MiniLMv2 (https://aclanthology.org/2021.findings-acl.188)

An interpretable foundation model of the patient clinical timeline: event forecasting, calibrated time-to-event alerts, and concept-level interpretability, benchmarked head-to-head against tuned GBMs, tabular foundation models, and survival baselines on MIMIC-IV, eICU, and GEMINI via the MEDS standard.

An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU (DAC ‘26)

Repository containing the open source code of works published at the FBK MT unit.

Lightweight multilingual language models for consumer hardware

[CVPR 2023] Official code repository for "How you feelin'? Learning Emotions and Mental States in Movie Scenes". https://arxiv.org/abs/2304.05634

Pytorch Implementation of "Adaptive Co-attention Network for Named Entity Recognition in Tweets" (AAAI 2018)

Speaker change detection using SincNet and an LSTM/Transformer

Generate 3D meshes from a single 2D image using TripoSR, complete with manual geometry editing and texture baking support

Open source codebase powering the WordSea dictionary app.

BERT which stands for Bidirectional Encoder Representations from Transformations is the SOTA in Transfer Learning in NLP.

TextBoost: Towards One-Shot Personalization of Text-to-Image Models via Fine-tuning Text Encoder

OpenAI-compatible multilingual TTS server — Chatterbox on vLLM with real-time PCM audio streaming, low time-to-first-byte (~0.7 s), voice cloning, and 23 languages.

📚 Text Classification with LoRA (Low-Rank Adaptation) of Language Models - Efficiently fine-tune large language models for text classification tasks using the Stanford Sentiment Treebank (SST-2) dataset and the LoRA technique.

several types of attention modules written in PyTorch for learning purposes

Model zoo for different kinds of uncertainty quantification methods used in Natural Language Processing, implemented in PyTorch.

A repository containing comprehensive Neural Networks based PyTorch implementations for the semantic text similarity task, including architectures such as: Siamese LSTM Siamese BiLSTM with Attention Siamese Transformer Siamese BERT.