dharmogata Goto Github PK

boostcamp-ai-tech-product-serving

[Machine Learning Engineer Basic Guide] 부스트캠프 AI Tech - Product Serving 자료

busan-apartment-auction-price-predicting-model

making a model to predict the apartment hammer price

captcha-breaker-project

Recognition of Text-Captcha images, and analysis of breaking it with various techniques

captcha_breaker

Captcha breaker on python

captcha_breaker_model

Captcha breaker model (OpenCV, Keras)

case-study-for-customer-churn

characterizing_uncertainty_scripts

Scripts associated with the paper "Characterizing Uncertainty in Machine Learning for Chemistry". They show how the data for this paper were calculated.

chatdrug

ChatGPT for Drug Discovery

chatgpt-seo-article-generator

Making a SEO article generator using ChatGPT with StreamLit and Python

chatgpt_plugin_naver_search

An intuitive Naver search integration plugin for ChatGPT, enhancing user experience. This plugin allows users to effortlessly search for various content (news, images, etc.) and receive results in a chat-friendly format.

chemical_representation_learning_for_toxicity_prediction

Chemical representation learning paper in Digital Discovery

chemical_vae

Code for 10.1021/acscentsci.7b00572, now running on Keras 2.0 and Tensorflow

cheminformatics-bq

chemoinformatics-tutos

Compilation of chemoinformatics and machine learning techniques

chemprop

Chemical Property Prediction with Graph Convolutional Networks

cl-fine-tuning-and-domain-adaptive-pretraining-in-korean-legal-domain

(2023-Spring) Computer Linguistics Final Project

clamp

computer_aided_drug_discovery_kit

This pipeline provides a way to perform pharmaceutical compounds virtual screening using similarity-based analysis, ligand-based and structure-based techniques. The pipeline contains a collections of modules to perform a variety of analysis.

comp_chem_colab

A useful collection of jupyter notebooks for computational chemists

constrained-graph-variational-autoencoder

Sample code for Constrained Graph Variational Autoencoders

corona-drug-discovery

This is a solution for the Possible Drugs for Covid-19 . Binding scores of leading existing drugs (HIV inhibitors) are around -10 to -11 and around -13 for the drug Remdesivir which recently entered clinical testing. More negative the binding score is, better the drug is. The goal is to create a novel small molecule which can bind with the coronavi

corona-reverse-engineering

coronavirus_cure_deeplearning

Using deep learning to generate novel molecules as candidates for binding with coronavirus protease

court-decision-prediction

월간 데이콘 법원 판결 예측 AI 경진대회

covid-19-drug-and-vaccine-r-d-with-ai-machine-learning

The way we discover drugs & vaccines is EXTREMELY inefficient. Something must have to be done here to decrease the future impacts of any kind of pandemic or biological warfare. We are accelerating drug discovery by leveraging machine learning algorithms to generate and create retro-synthesis pathways for drug molecule design and development.

covid-19-drug-discovery

COVID-19 Drug Design using Generative RNN-LSTM

covid-19-drug-discovery-using-rnn-lstms-stack-augmented-rnn-and-rl-powered-by-microsoft-azure

cs100.1x-introduction-to-big-data-with-apache-spark

csb-python-course

cysdb_app

Integrating chemoproteomics, protein structures, and functional annotations to understand the role of cysteines in the human proteome.