Starred repositories
27
stars
written in Jupyter Notebook
Clear filter
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
CoreNet: A library for training deep neural networks
Flax is a neural network library for JAX that is designed for flexibility.
A scikit-learn compatible neural network library that wraps PyTorch
A python library for decision tree visualization and model interpretation.
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
Structured state space sequence models
InferSent sentence embeddings
Algorithms for outlier, adversarial and drift detection
functorch is JAX-like composable function transforms for PyTorch.
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
Patent analysis using the Google Patents Public Datasets on BigQuery
Diffusion models of protein structure; trigonometry and attention are all you need!
Statistics and accepted paper list of NLP conferences with arXiv link
🤗 Optimum Intel: Accelerate inference with Intel optimization tools
Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.
Named tensors with first-class dimensions for PyTorch
Easy, fast and very cheap training and inference on AWS Trainium and Inferentia chips.
K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://joshlk.github.io/k-means-constrained
Deep networks for protein functional inference
Python for chemoinformatics
Storage and retrieval of Word Embeddings in various databases
