transformers

A collection of resources on applications of Transformers in Medical Imaging.

Basaran is an open-source alternative to the OpenAI text completion API. It provides a compatible streaming API for your Hugging Face Transformers-based text generation models.

Pruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.

Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang.

Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inference and support Web deployment, Windows desktop deployment, and Android deployment

Implementation of various self-attention mechanisms focused on computer vision. Ongoing repository.

Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch

Neural Network Compression Framework for enhanced OpenVINO™ inference

A machine learning primer built from first principles. For engineers who want to reason about ML systems the way they reason about software systems.

An implementation of Performer, a linear attention-based transformer, in Pytorch

LLM KV cache compression made easy

明医 (MING)：中文医疗问诊大模型

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Simple go utility to download HuggingFace Models and Datasets

DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

🤗 A list of wonderful open-source projects & applications integrated with Hugging Face libraries.

From the Tensor to Stable Diffusion, a rough outline for a 10 week course.