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

Analysis and experiments on attention mechanisms in transformer-based QA models using DeBERTa on the SQuAD dataset

Targeted and non-targeted anticancer drugs and drug regimens

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

Automatic voice-synthetised summaries of latest research papers on arXiv

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

A deep dive into embeddings starting from fundamentals

Google Colab Tutorials for IBM3202

Examples and guides for using the OpenAI API

CLI platform to experiment with codegen. Precursor to: https://lovable.dev

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein-Ligand Binding Affinity Prediction

analysis of the jokes dataset

This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those cool functions you created before? Well, this repo is designed …

A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.

Named Entity Recognition (NER) Annotation tool for SpaCy. Generates Traning Data as a JSON which can be readily used.

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

PyTorch implementation of the position-aware attention model for relation extraction

A Python library for Roomba Open Interface

Pytorch-Named-Entity-Recognition-with-BERT

Pseudo Labeling for Neural Networks and Logistic Regression/SVMs ( Based on "Pseudo-Label : The Simple and Efficient Semi-Supervised Learning Method for Deep Neural Networks")

Building a text classifier with extremely small datasets

A curated list of ML|NLP resources for healthcare.

Implement and compare several Hidden Markov Models for a "parts of speech tagging" task.

Developed an NLP classifier for detecting medical domains in texts using a Siamese Neural Network

It is a Natural Language Processing Problem where Sentiment Analysis is done by Classifying the Positive tweets from negative tweets by machine learning models for classification, text mining, text…