Examples of matplotlib codes and plots

A company-mode backend for TabNine, the all-language autocompleter: https://tabnine.com/

Refine.bio harmonizes petabytes of publicly available biological data into ready-to-use datasets for cancer researchers and AI/ML scientists.

Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.

PRML algorithms implemented in Python

tree is a library for working with nested data structures

The fastai book, published as Jupyter Notebooks

A collection of infrastructure and tools for research in neural network interpretability.

A registry of epigenomics reference data sets

Deep probabilistic analysis of single-cell and spatial omics data

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

Deep learning infrastructure for genomics

Model interpretability and understanding for PyTorch

A collection of resources to study Transformers in depth.

Matplotlib 3.1 cheat sheet.

Graph Neural Network Library for PyTorch

Google Research

Python biomart API

Examples of using sparse attention, as in "Generating Long Sequences with Sparse Transformers"

Google Drive public file downloader when curl/wget fails.

Interpretability Methods for tf.keras models with Tensorflow 2.x

Python library for Ceteris Paribus Plots (What-if plots)

Turn Python scripts into handouts with Markdown and figures

Basic operations on the space of numerical functions defined on the genome using lazy evaluators for flexibility and efficiency

A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability

Avocado is a multi-scale deep tensor factorization model that learns a latent representation of the human epigenome and enables imputation of epigenomic experiments that have not yet been performed.

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

🎥 Matplotlib animations made easy