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Stars
Official code repository for the publication "SSG2: A New Modelling Paradigm for Semantic Segmentation"
A simple plugin that lets you embed GitHub issues in your Obsidian notes
🖼️ An image select component for Streamlit
BLEURT is a metric for Natural Language Generation based on transfer learning.
The standalone version / cli-tool of SPOT-Contact-Single available for public use for research purposes.
The standalone version of SPOT-1D-Single available for public use for research purposes.
SPOT-1D-LM: Reaching Alignment-profile-based Accuracy in Predicting Protein Secondary and Tertiary Structural Properties without Alignment.
Pytorch Lightning Distributed Accelerators using Ray
Attention-based Pyramid Dilated Lattice Network for Blind Image Denoising
Improved RNA Secondary Secondary Structure Prediction using Evolutionary Profile, Mutational Coupling and Two-dimensional Transfer Learning
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.
DeepMMSE: A Deep Learning Approach to MMSE-based Noise Power Spectral Density Estimation
Single-sequence and Profile-based Prediction of RNA Solvent Accessibility Using Dilated Convolution Neural Network
Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
Library for learning and inference with Sum-product Networks
Deep Residual-Dense Lattice Network for Speech Enhancement
RNA Secondary Structure Prediction using an Ensemble of Two-dimensional Deep Neural Networks and Transfer Learning.
In recent times, toxicological classification of chemical compounds is considered to be a grand challenge for pharma-ceutical and environment regulators. Advancement in machine learning techniques …
Proof of the concept implementation of smiles2vec paper
CNN model based on Google Inception model to predict regression values of regression values of Tetrahymena pyriformis IGC50 from 2D images of molcules
Dynamic character sheet which can be altered, saved, and loaded with different characters.
An Open Source Machine Learning Framework for Everyone
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks