134 Open source projects that are alternatives of or similar to Deep-Drug-Coder

A PyTorch and TorchDrug based deep learning library for drug pair scoring.

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API calls analysis for cyber security researchers

Pytorch implementation of contractive autoencoder on MNIST dataset

Codes and Templates from the SuperDataScience Course

Translating English sentences to Marathi using Neural Machine Translation

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

No description or website provided.

The implementation of LSTM in TensorFlow used for the stock prediction.

A simplified drug discovery pipeline -- generating SMILE molecular with AlphaSMILES, predicting protein structure with AlphaFold, and checking the druggability with fpocket/Amber.

Original implementation of Calibrated Boosting-Forest

Detect Sensitive REST API communication using Deep Neural Networks

Vanilla LSTM with numpy

Paratope Prediction using Deep Learning

Classification of Urban Sound Audio Dataset using LSTM-based model.

Playing with MNIST. Machine Learning. Generative Models.

MolMap: An Efficient Convolutional Neural Network Based Molecular Deep Learning Tool

odr.chalmers.se/handle/20.500.12380/256629?locale=en

A lightweight python-only library for reading and writing SMILES strings

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity

Molecular informatics toolkit with a comprehensive integration of bioinformatics and cheminformatics tools for drug discovery.

Python for chemoinformatics

This repository contains the code for a conference paper "Predicting the football match winner using LSTM model of Recurrent Neural Networks" that we wrote

A curated list of resources for machine learning for small-molecule drug discovery

Protwis is the backbone of the GPCRdb. The GPCRdb contains reference data, interactive visualisation and experiment design tools for G protein-coupled receptors (GPCRs).

NequIP is a code for building E(3)-equivariant interatomic potentials

My implementation of "Hierarchical Attention Networks for Document Classification" in Keras

This is the realization of core DeepLog

bitcoin prediction algorithms

A recurrent (LSTM) neural network in C

Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning

A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".

An LSTM example using tensorflow to predict the next word in a text

Hybrid Time Series using LSTM and Kalman Filtering

Quantifying ESG Alpha using Scholar Big Data: An Automated Machine Learning Approach.

Probabilistic Inference for NOvel Therapeutics

雷达回波外推，ConvLSTM，训练模型并外推。

NLP with NLTK for Sentiment analysis amazon Products Reviews

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

Cukatify is a music social media project

screenlamp is a Python toolkit for hypothesis-driven virtual screening

Automatic trading bot (WIP)

Keras implementation of character-level sequence-to-sequence learning for spelling correction

RxDock is a fork of rDock. Note: the latest code is under development. Please do git checkout patched-rdock after clone if you want patched rDock. [IMPORTANT NOTE: pull requests should be posted on GitLab, this is a read-only source code mirror]

All the code files related to the deep learning course from PadhAI

Computational Analysis of Novel Drug Opportunities

Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure

Introduction to Applied Mathematics and Informatics in Drug Discovery (AMIDD)

Web Interface for ChEMBL @ EMBL-EBI

Template with code & dataset for the "Structural basis for solubility in protein expression systems" challenge at the Copenhagen Bioinformatics Hackathon 2021.

Fast and scalable uncertainty quantification for neural molecular property prediction, accelerated optimization, and guided virtual screening.

code for Gogleva et al manuscript

Official adversarial mixup resynthesis repository

Tensorflow 2.0 implementation of Adversarial Autoencoders

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…

An enterprise react-native template application showcasing - Testing strategy, Global state management, middleware support, a network layer, component library integration, localization, navigation configuration and CI

Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.