Pinned Repositories
50_layer_Resnet
50 Layer Resnet to predict the regression values of Tetrahymena pyriformis IGC50 from 2d molecular images only
ALALI
Automated Loading assuming Atomic Level Interactions (ALALI): A python tool to map atoms to qubits, including IBM Q topologies. GPL-3.0-or-later.
CardioTox
Chemception
CNN model based on Google Inception model to predict regression values of regression values of Tetrahymena pyriformis IGC50 from 2D images of molcules
HPE
Heterogeneous Predictors Ensembling for Quantitative Toxicity Prediction
HybridTox2D
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 enabled efficient toxicity predic-tion pipelines. Random forests (RF), support vector machines (SVM) and deep neural networks (DNN) are often ap-plied to model the toxic effects of chemical compounds. However, complexity-accuracy tradeoff still needs to be ac-counted in order to improve the efficiency and commercial deployment of these methods. In this study, we implement a hybrid framework consists of a shallow neural network and a decision classifier for toxicity prediction of chemicals that interrupt nuclear receptor (NR) and stress response (SR) signaling pathways. A model based on proposed hybrid framework is trained on Tox21 data using 2D chemical descriptors that are less multifarious in nature and easy to calcu-late. Our method achieved the highest accuracy of 0.847 AUC (area under the curve) using a shallow neural network with only one hidden layer consisted of 10 neurons. Furthermore, our hybrid model enabled us to elucidate the inter-pretation of most important descriptors responsible for NR and SR toxicity.
Intent_classification
My demo code and a report for Intent classification
New_molecules_generation
Character level RNN to generate new molecules
QuantitativeTox
Smiles2vec
Proof of the concept implementation of smiles2vec paper
Abdulk084's Repositories
Abdulk084/CardioTox
Abdulk084/QuantitativeTox
Abdulk084/Intent_classification
My demo code and a report for Intent classification
Abdulk084/VALL-E-X-Trainer
VALL-E-X-Trainer
Abdulk084/awesome-marketing-datascience
Curated list of useful LLM / Analytics / Datascience resources
Abdulk084/chemicalxAbdul
A PyTorch and TorchDrug based deep learning library for drug pair scoring.
Abdulk084/DeepInsight
A methodology to transform a non-image data to an image for convolution neural network architecture
Abdulk084/DRLX
Diffusion Reinforcement Learning Library
Abdulk084/fill
Generative fill in 3D.
Abdulk084/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Abdulk084/gpt4-pdf-chatbot-langchain
GPT4 & LangChain Chatbot for large PDF docs
Abdulk084/herg-ml
Abdulk084/interpretability-implementations-demos
Sklearn-compatible interpretability implementations and demos.
Abdulk084/Job2Vec
Job2Vec: Job Title Benchmarkingwith Collective Multi-View Representation Learning
Abdulk084/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
Abdulk084/lama-cleaner
Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, people from your pictures or erase and replace(powered by stable diffusion) any thing on your pictures.
Abdulk084/learning-to-smell-starter-kit
Abdulk084/lit
The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.
Abdulk084/markello_ppmisnf
Code supporting the recent preprint Markello et al., 2020
Abdulk084/ml-engineering
Machine Learning Engineering Open Book
Abdulk084/phoenix
ML Observability in a Notebook - Uncover Insights, Surface Problems, Monitor, and Fine Tune your Generative LLM, CV and Tabular Models
Abdulk084/RecursiveSummarizer
Abdulk084/RNAsnap2
Single-sequence and Profile-based Prediction of RNA Solvent Accessibility Using Dilated Convolution Neural Network
Abdulk084/satellite-image-deep-learning
Resources for deep learning with satellite & aerial imagery
Abdulk084/self-refine
LLMs can refine their own outputs in iterations of feedback and refinement
Abdulk084/Semantic-Segmentation-Suite
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Abdulk084/TDC
Therapeutics Data Commons: Machine Learning Datasets for Therapeutics
Abdulk084/terraform-beginner-to-advanced-resource
Abdulk084/test
Abdulk084/VALL-E-X-AK
An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io