191 Repositories
Python protein-structure Libraries
orfipy is a tool written in python/cython to extract ORFs in an extremely and fast and flexible manner
Introduction orfipy is a tool written in python/cython to extract ORFs in an extremely and fast and flexible manner. Other popular ORF searching tools
Introduce QML-like declarative structure to Python world. Developer writes only pure Python code for QML.
Introduce QML-like declarative structure to Python world. Developer writes only pure Python code for QML.
Bioinformatics tool for exploring RNA-Protein interactions
Explore RNA-Protein interactions. RNPFind is a bioinformatics tool. It takes an RNA transcript as input and gives a list of RNA binding protein (RBP)
A CROSS-MODAL FUSION NETWORK BASED ON SELF-ATTENTION AND RESIDUAL STRUCTURE FOR MULTIMODAL EMOTION RECOGNITION
CFN-SR A CROSS-MODAL FUSION NETWORK BASED ON SELF-ATTENTION AND RESIDUAL STRUCTURE FOR MULTIMODAL EMOTION RECOGNITION The audio-video based multimodal
python's memory-saving dictionary data structure
ConstDict python代替的Dict数据结构 若字典不会增加字段,只读/原字段修改 使用ConstDict可节省内存 Dict()内存主要消耗的地方: 1、Dict扩容机制,预留内存空间 2、Dict也是一个对象,内部会动态维护__dict__,增加slot类属性可以节省内容 节省内存大小
Structure Information is the Key: Self-Attention RoI Feature Extractor in 3D Object Detection
Structure Information is the Key: Self-Attention RoI Feature Extractor in 3D Object Detection abstract:Unlike 2D object detection where all RoI featur
Python Example Project Structure
Python Example Project Structure Example of statuses that can be in readme: Visit my docs for the full documentation, examples and guides. With this p
This repo represents all we learned and are learning in Data Structure course.
DataStructure Journey This repo represents all we learned and are learning in Data Structure course which is based on CLRS book and is being taught by
Deep generative models of 3D grids for structure-based drug discovery
What is liGAN? liGAN is a research codebase for training and evaluating deep generative models for de novo drug design based on 3D atomic density grid
Predicting lncRNA–protein interactions based on graph autoencoders and collaborative training
Predicting lncRNA–protein interactions based on graph autoencoders and collaborative training Code for our paper "Predicting lncRNA–protein interactio
Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++).
Hierarchical probabilistic 3D U-Net, with attention mechanisms (—𝘈𝘵𝘵𝘦𝘯𝘵𝘪𝘰𝘯 𝘜-𝘕𝘦𝘵, 𝘚𝘌𝘙𝘦𝘴𝘕𝘦𝘵) and a nested decoder structure with deep supervision (—𝘜𝘕𝘦𝘵++). Built in TensorFlow 2.5. Configured for voxel-level clinically significant prostate cancer detection in multi-channel 3D bpMRI scans.
Code for our NeurIPS 2021 paper 'Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation'
Exploiting the Intrinsic Neighborhood Structure for Source-free Domain Adaptation (NeurIPS 2021) Code for our NeurIPS 2021 paper 'Exploiting the Intri
A wrapper for DVD file structure and ISO files.
vs-parsedvd DVDs were an error. A wrapper for DVD file structure and ISO files. You can find me in the IEW Discord server
Unit testing AWS interactions with pytest and moto. These examples demonstrate how to structure, setup, teardown, mock, and conduct unit testing. The source code is only intended to demonstrate unit testing.
Unit Testing Interactions with Amazon Web Services (AWS) Unit testing AWS interactions with pytest and moto. These examples demonstrate how to structu
This app finds duplicate to near duplicate images by generating a hash value for each image stored with a specialized data structure called VP-Tree which makes searching an image on a dataset of 100Ks almost instantanious
Offline Reverse Image Search Overview This app finds duplicate to near duplicate images by generating a hash value for each image stored with a specia
Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships.
feature-set-comp Compares various time-series feature sets on computational performance, within-set structure, and between-set relationships. Reposito
peptides.py is a pure-Python package to compute common descriptors for protein sequences
peptides.py Physicochemical properties and indices for amino-acid sequences. 🗺️ Overview peptides.py is a pure-Python package to compute common descr
PyTorch implementation of the paper Ultra Fast Structure-aware Deep Lane Detection
PyTorch implementation of the paper Ultra Fast Structure-aware Deep Lane Detection
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021, Oral)
Pixel-Perfect Structure-from-Motion (ICCV 2021 Oral) We introduce a framework that improves the accuracy of Structure-from-Motion by refining keypoint
Structure-Preserving Deraining with Residue Channel Prior Guidance (ICCV2021)
SPDNet Structure-Preserving Deraining with Residue Channel Prior Guidance (ICCV2021) Requirements Linux Platform NVIDIA GPU + CUDA CuDNN PyTorch == 0.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Cookiecutter Data Science A logical, reasonably standardized, but flexible project structure for doing and sharing data science work. Project homepage
tetrados is a tool to generate a density of states using the linear tetrahedron method from a band structure.
tetrados tetrados is a tool to generate a density of states using the linear tetrahedron method from a band structure. Currently, only VASP calculatio
Code for the IJCAI 2021 paper "Structure Guided Lane Detection"
SGNet Project for the IJCAI 2021 paper "Structure Guided Lane Detection" Abstract Recently, lane detection has made great progress with the rapid deve
Python example making use of best practice file structure and multithreading.
Python example making use of best practice file structure and multithreading.
[ICCV'2021] Image Inpainting via Conditional Texture and Structure Dual Generation
[ICCV'2021] Image Inpainting via Conditional Texture and Structure Dual Generation
A graph neural network (GNN) model to predict protein-protein interactions (PPI) with no sample features
A graph neural network (GNN) model to predict protein-protein interactions (PPI) with no sample features
A geometric deep learning pipeline for predicting protein interface contacts.
A geometric deep learning pipeline for predicting protein interface contacts.
A simple tool that updates your pubspec.yaml file, of a Flutter project, without altering the structure of your file.
A simple tool that updates your pubspec.yaml file, of a Flutter project, without altering the structure of your file.
Video Autoencoder: self-supervised disentanglement of 3D structure and motion
Video Autoencoder: self-supervised disentanglement of 3D structure and motion This repository contains the code (in PyTorch) for the model introduced
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Table of Contents: Introduction to Torch's Tensor Library Computation Graphs and Automatic Differentiation Deep Learning Building Blocks: Affine maps,
An extremely simple, intuitive, hardware-friendly, and well-performing network structure for LiDAR semantic segmentation on 2D range image. IROS21
FIDNet_SemanticKITTI Motivation Implementing complicated network modules with only one or two points improvement on hardware is tedious. So here we pr
Replication attempt for the Protein Folding Model
RGN2-Replica (WIP) To eventually become an unofficial working Pytorch implementation of RGN2, an state of the art model for MSA-less Protein Folding f
Code of paper "Compositionally Generalizable 3D Structure Prediction"
Compositionally Generalizable 3D Structure Prediction In this work, We bring in the concept of compositional generalizability and factorizes the 3D sh
Recommended AWS CDK project structure for Python applications
Recommended AWS CDK project structure for Python applications The project implements a user management backend component that uses Amazon API Gateway,
Print a directory tree structure in your Python code.
directory-structure Print a directory tree structure in your Python code. Download You can simply: pip install directory-structure Or you can also: Cl
Python solutions to Codeforces problems
CodeForces This repository is dedicated to my Python solutions for CodeForces problems. Feel free to copy, contribute and/or comment. If you find any
This is an official implementation for the WTW Dataset in "Parsing Table Structures in the Wild " on table detection and table structure recognition.
WTW-Dataset This is an official implementation for the WTW Dataset in "Parsing Table Structures in the Wild " on ICCV 2021. Here, you can download the
Deep Unsupervised 3D SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment.
(ACMMM 2021 Oral) SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment This repository shows two tasks: Face landmark detection and Fac
Graph-based community clustering approach to extract protein domains from a predicted aligned error matrix
Using a predicted aligned error matrix corresponding to an AlphaFold2 model , returns a series of lists of residue indices, where each list corresponds to a set of residues clustering together into a pseudo-rigid domain.
Deep Unsupervised 3D SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment.
(ACMMM 2021 Oral) SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment This repository shows two tasks: Face landmark detection and Fac
An implementation for `Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction`
Text2Event An implementation for Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction Please contact Yaojie Lu (@
Code for paper "ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation"
ASAP-Net This project implements ASAP-Net of paper ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation (BMVC2020). Overview We i
Geometric Vector Perceptron --- a rotation-equivariant GNN for learning from biomolecular structure
Geometric Vector Perceptron Code to accompany Learning from Protein Structure with Geometric Vector Perceptrons by B Jing, S Eismann, P Suriana, RJL T
[ICCV'21] PlaneTR: Structure-Guided Transformers for 3D Plane Recovery
PlaneTR: Structure-Guided Transformers for 3D Plane Recovery This is the official implementation of our ICCV 2021 paper News There maybe some bugs in
Deep Two-View Structure-from-Motion Revisited
Deep Two-View Structure-from-Motion Revisited This repository provides the code for our CVPR 2021 paper Deep Two-View Structure-from-Motion Revisited.
Implementation of the Triangle Multiplicative module, used in Alphafold2 as an efficient way to mix rows or columns of a 2d feature map, as a standalone package for Pytorch
Triangle Multiplicative Module - Pytorch Implementation of the Triangle Multiplicative module, used in Alphafold2 as an efficient way to mix rows or c
A Python tool to generate a static HTML file that represents the internal structure of a PDF file
PDFSyntax A Python tool to generate a static HTML file that represents the internal structure of a PDF file At some point the low-level functions deve
Implementation of Invariant Point Attention, used for coordinate refinement in the structure module of Alphafold2, as a standalone Pytorch module
Invariant Point Attention - Pytorch Implementation of Invariant Point Attention as a standalone module, which was used in the structure module of Alph
A Planar RGB-D SLAM which utilizes Manhattan World structure to provide optimal camera pose trajectory while also providing a sparse reconstruction containing points, lines and planes, and a dense surfel-based reconstruction.
ManhattanSLAM Authors: Raza Yunus, Yanyan Li and Federico Tombari ManhattanSLAM is a real-time SLAM library for RGB-D cameras that computes the camera
Plug and play transformer you can find network structure and official complete code by clicking List
Plug-and-play Module Plug and play transformer you can find network structure and official complete code by clicking List The following is to quickly
Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).
Self-supervised Graph-level Representation Learning with Local and Global Structure Introduction This project is an implementation of ``Self-supervise
clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation
README clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation CVPR 2021 Authors: Suprosanna Shit and Johannes C. Paetzo
Implementation and replication of ProGen, Language Modeling for Protein Generation, in Jax
ProGen - (wip) Implementation and replication of ProGen, Language Modeling for Protein Generation, in Pytorch and Jax (the weights will be made easily
Implementation for our AAAI2021 paper (Entity Structure Within and Throughout: Modeling Mention Dependencies for Document-Level Relation Extraction).
SSAN Introduction This is the pytorch implementation of the SSAN model (see our AAAI2021 paper: Entity Structure Within and Throughout: Modeling Menti
7th place solution of Human Protein Atlas - Single Cell Classification on Kaggle
kaggle-hpa-2021-7th-place-solution Code for 7th place solution of Human Protein Atlas - Single Cell Classification on Kaggle. A description of the met
A set of functions and analysis classes for solvation structure analysis
SolvationAnalysis The macroscopic behavior of a liquid is determined by its microscopic structure. For ionic systems, like batteries and many enzymes,
A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms
Denoising Diffusion Probabilistic Model for Proteins Implementation of Denoising Diffusion Probabilistic Model in Pytorch. It is a new approach to gen
Unofficial TensorFlow implementation of Protein Interface Prediction using Graph Convolutional Networks.
[TensorFlow] Protein Interface Prediction using Graph Convolutional Networks Unofficial TensorFlow implementation of Protein Interface Prediction usin
Using context-free grammar formalism to parse English sentences to determine their structure to help computer to better understand the meaning of the sentence.
Sentance Parser Executing the Program Make sure Python 3.6+ is installed. Install requirements $ pip install requirements.txt Run the program:
Protein Language Model
ProteinLM We pretrain protein language model based on Megatron-LM framework, and then evaluate the pretrained model results on TAPE (Tasks Assessing P
Implementation of ProteinBERT in Pytorch
ProteinBERT - Pytorch (wip) Implementation of ProteinBERT in Pytorch. Original Repository Install $ pip install protein-bert-pytorch Usage import torc
A New, Interactive Approach to Learning Python
This is the repository for The Python Workshop, published by Packt. It contains all the supporting project files necessary to work through the course from start to finish.
Implementation of ProteinBERT in Pytorch
ProteinBERT - Pytorch (wip) Implementation of ProteinBERT in Pytorch. Original Repository Install $ pip install protein-bert-pytorch Usage import torc
ProteinBERT is a universal protein language model pretrained on ~106M proteins from the UniRef90 dataset.
ProteinBERT is a universal protein language model pretrained on ~106M proteins from the UniRef90 dataset. Through its Python API, the pretrained model can be fine-tuned on any protein-related task in a matter of minutes. Based on our experiments with a wide range of benchmarks, ProteinBERT usually achieves state-of-the-art performance. ProteinBERT is built on TenforFlow/Keras.
Deep functional residue identification
DeepFRI Deep functional residue identification Citing @article {Gligorijevic2019, author = {Gligorijevic, Vladimir and Renfrew, P. Douglas and Koscio
U2-Net: Going Deeper with Nested U-Structure for Salient Object Detection
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
PyTorch implementation DRO: Deep Recurrent Optimizer for Structure-from-Motion
DRO: Deep Recurrent Optimizer for Structure-from-Motion This is the official PyTorch implementation code for DRO-sfm. For technical details, please re
Generative Models for Graph-Based Protein Design
Graph-Based Protein Design This repo contains code for Generative Models for Graph-Based Protein Design by John Ingraham, Vikas Garg, Regina Barzilay
Unofficial & improved implementation of NeRF--: Neural Radiance Fields Without Known Camera Parameters
[Unofficial code-base] NeRF--: Neural Radiance Fields Without Known Camera Parameters [ Project | Paper | Official code base ] ⬅️ Thanks the original
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs Jiong Zhu, Yujun Yan, Lingxiao Zhao, Mark Heimann, Leman Akoglu,
Structural basis for solubility in protein expression systems
Structural basis for solubility in protein expression systems Large-scale protein production for biotechnology and biopharmaceutical applications rely
Source codes for "Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs"
Structure-Aware-BART This repo contains codes for the following paper: Jiaao Chen, Diyi Yang:Structure-Aware Abstractive Conversation Summarization vi
The implementation of the CVPR2021 paper "Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 Nodes"
STAR-FC This code is the implementation for the CVPR 2021 paper "Structure-Aware Face Clustering on a Large-Scale Graph with 10^7 Nodes" 🌟 🌟 . 🎓 Re
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
Implementation of the paper "Language-agnostic representation learning of source code from structure and context".
Code Transformer This is an official PyTorch implementation of the CodeTransformer model proposed in: D. Zügner, T. Kirschstein, M. Catasta, J. Leskov
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021, official Pytorch implementatio
Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.
pgmpy pgmpy is a python library for working with Probabilistic Graphical Models. Documentation and list of algorithms supported is at our official sit
CVPR 2021: "Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE"
Diverse Structure Inpainting ArXiv | Papar | Supplementary Material | BibTex This repository is for the CVPR 2021 paper, "Generating Diverse Structure
A Python package for manipulating 2-dimensional tabular data structures
datatable This is a Python package for manipulating 2-dimensional tabular data structures (aka data frames). It is close in spirit to pandas or SFrame
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Little Ball of Fur is a graph sampling extension library for Python. Please look at the Documentation, relevant Paper, Promo video and External Resour
Generic template to bootstrap your PyTorch project with PyTorch Lightning, Hydra, W&B, and DVC.
NN Template Generic template to bootstrap your PyTorch project. Click on Use this Template and avoid writing boilerplate code for: PyTorch Lightning,
3D Reconstruction Software
Meshroom is a free, open-source 3D Reconstruction Software based on the AliceVision Photogrammetric Computer Vision framework. Learn more details abou
Differentiable molecular simulation of proteins with a coarse-grained potential
Differentiable molecular simulation of proteins with a coarse-grained potential This repository contains the learned potential, simulation scripts and
FastAPI application and service structure for a more maintainable codebase
Abstracting FastAPI Services See this article for more information: https://camillovisini.com/article/abstracting-fastapi-services/ Poetry poetry inst
Implementation of trRosetta and trDesign for Pytorch, made into a convenient package
trRosetta - Pytorch (wip) Implementation of trRosetta and trDesign for Pytorch, made into a convenient package
This repository is related to an Arabic tutorial, within the tutorial we discuss the common data structure and algorithms and their worst and best case for each, then implement the code using Python.
Data Structure and Algorithms with Python This repository is related to the Arabic tutorial here, within the tutorial we discuss the common data struc
Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pytorch. Idea proposed and accepted at ICLR 2021
Geometric Vector Perceptron Implementation of Geometric Vector Perceptron, a simple circuit with 3d rotation equivariance for learning over large biom
Python Library for learning (Structure and Parameter) and inference (Statistical and Causal) in Bayesian Networks.
pgmpy pgmpy is a python library for working with Probabilistic Graphical Models. Documentation and list of algorithms supported is at our official sit
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Little Ball of Fur is a graph sampling extension library for Python. Please look at the Documentation, relevant Paper, Promo video and External Resour
Repository for data structure and algorithms in Python for coding interviews
Python Data Structures and Algorithms This repository contains questions requiring implementation of data structures and algorithms concepts. It is us
Minimal examples of data structures and algorithms in Python
Pythonic Data Structures and Algorithms Minimal and clean example implementations of data structures and algorithms in Python 3. Contributing Thanks f