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real time face swap and one-click video deepfake with only a single image
Interpretable bilinear attention network with domain adaptation improves drug-target prediction.
A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
This repository collects all relevant resources about interpretability in LLMs
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.
Distribute and run LLMs with a single file.
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Fast inference engine for Transformer models
🦜🔗 Build context-aware reasoning applications
A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
Implementation of Nougat Neural Optical Understanding for Academic Documents
✨✨Latest Advances on Multimodal Large Language Models
Generative Models by Stability AI
Model interpretability and understanding for PyTorch
Graph deep learning library for materials
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
Artificial Intelligence Research for Science (AIRS)
Matbench: Benchmarks for materials science property prediction
Python Materials Genomics (pymatgen) is a robust materials analysis code that defines classes for structures and molecules with support for many electronic structure codes. It powers the Materials …
Making Protein folding accessible to all!
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, …