Supercharge your AI agents with data from the web and beyond. Building the library for superintelligence. 🔥

Open-source data management for multimodal AI. Query, trace, and govern with a lineage-native, format-agnostic lakehouse for agents and teams. Supports biological formats and registries - by the cr…

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

The QMNIST dataset

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Tool for real-time visualization, monitoring and collaborative analysis of AI/ML experiments and live data. Supports Python, PyTorch/Torch, NumPy, TensorFlow/Keras https://visdom.dev

A collection of video resources for machine learning

Run Keras models in the browser, with GPU support using WebGL

Exploration of methods for coloring t-SNE.

Denoising Adversairal Autoencoders

Computational reproducibility using Continuous Integration to produce verifiable end-to-end runs of scientific analysis.

A library for efficient similarity search and clustering of dense vectors.

Prediction of the 3D structure of the genome through statistically significant Hi-C contacts.

The most cited deep learning papers

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Python interface to access reference genome features (such as genes, transcripts, and exons) from Ensembl

DSDE Deep Learning Club

BWK awk modified for biological data

Parallel t-SNE implementation with Python and Torch wrappers.

A place to collect papers that are related to deep learning and computational biology

A collaboratively written review paper on deep learning, genomics, and precision medicine

A curated list of awesome deep learning applications in the field of computational biology

Python library and scripts for retrieval and storage of genomics data in HDF5 format

Public facing deeplift repo

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

“When everything is connected to everything else, for better or worse, everything matters.” Bruce Mau

Convolutional neural network analysis for predicting DNA sequence activity.