The code used to train and run inference with the ColPali architecture.

[NeurIPS 2023] Learning to Configure Separators in Branch-and-Cut

Official implementation of AnimateDiff.

End-to-End Speech Processing Toolkit

One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more

A tool for running on-premises large language models with non-public data

Code for Improving Autoencoder Image Interpolation via Dynamic Optimal Transport

Vocabulary Trimming (VT) is a model compression technique, which reduces a multilingual LM vocabulary to a target language by deleting irrelevant tokens from its vocabulary. This repository contain…

Repo to pre-train a spanish language model and zero-shot classifier based on the ELECTRA model

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Model Compression for Big Models

A custom Tensorflow implementation of Google's Electra NLP model with compositional embeddings using complementary partitions

A Survey and Experiments on Annotated Corpora for Emotion Classification in Text

HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance

Mobile-Agent: The Powerful Mobile Device Operation Assistant Family

Pytorch Implementation of GoEmotions 😍😢😱

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

Multitask-learning of a BERT backbone. Allows to easily train a BERT model with state-of-the-art method such as PCGrad, Gradient Vaccine, PALs, Scheduling, Class imbalance handling and many optimiz…

Benchmarking Neural Network Inference on Mobile Devices

Anole: An Open, Autoregressive and Native Multimodal Models for Interleaved Image-Text Generation

MobileLLM Optimizing Sub-billion Parameter Language Models for On-Device Use Cases. In ICML 2024.

Spanish Electra (small)

Official repository for ORPO

The Qualcomm® AI Hub Models are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

YOLOv10: Real-Time End-to-End Object Detection [NeurIPS 2024]