Pooret's Stars
sigven/pharmOncoX
Targeted and non-targeted anticancer drugs and drug regimens
benb111/awesome-small-molecule-ml
A curated list of resources for machine learning for small-molecule drug discovery
musikalkemist/paperwhisperer
Automatic voice-synthetised summaries of latest research papers on arXiv
kexinhuang12345/DeepPurpose
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
veekaybee/what_are_embeddings
A deep dive into embeddings starting from fundamentals
pb3lab/ibm3202
Google Colab Tutorials for IBM3202
openai/openai-cookbook
Examples and guides for using the OpenAI API
gpt-engineer-org/gpt-engineer
Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app
Significant-Gravitas/AutoGPT
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.
gregory-kyro/HAC-Net
HAC-Net: A Hybrid Attention-Based Convolutional Neural Network for Highly Accurate Protein-Ligand Binding Affinity Prediction
Pooret/jokes
analysis of the jokes dataset
Pooret/ner-honorifics
Pooret/chemical-entity-relationships
Pooret/drug-discovery-ml
gmihaila/ml_things
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 to be a Python Library of functions I created in my previous project that can be reused. I also share some Notebooks Tutorials and Python Code Snippets.
cedrickchee/awesome-transformer-nlp
A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
tecoholic/ner-annotator
Named Entity Recognition (NER) Annotation tool for SpaCy. Generates Traning Data as a JSON which can be readily used.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
yuhaozhang/tacred-relation
PyTorch implementation of the position-aware attention model for relation extraction
AtsushiSakai/PyRoombaAdapter
A Python library for Roomba Open Interface
kamalkraj/BERT-NER
Pytorch-Named-Entity-Recognition-with-BERT
sarang0909/custom_ner_api
anirudhshenoy/pseudo_labeling_small_datasets
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")
anirudhshenoy/text-classification-small-datasets
Building a text classifier with extremely small datasets
isaacmg/healthcare_ml
A curated list of ML|NLP resources for healthcare.
OdedMous/HMM-POS-Tagger
Implement and compare several Hidden Markov Models for a "parts of speech tagging" task.
OdedMous/Medical-Text-Classification
Developed an NLP classifier for detecting medical domains in texts using a Siamese Neural Network
sharmaroshan/Twitter-Sentiment-Analysis
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 analysis, data analysis and data visualization
autgaard/data-science-misc-projects
Here you will find a selection of miscellaneous data science projects that are not included in my project portfolio.
kennethleungty/MLOps-Specialization-Notes
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng