Stephen Ra's repositories
stephenra.github.io
Personal website
ffi-experimental
Code generation / FFI binding using libtorch 1.x for the next Hasktorch release
hasktorch
Tensors and neural networks in Haskell
pyro
Deep universal probabilistic programming with Python and PyTorch
cleanlab
The standard package for machine learning with noisy labels and finding mislabeled data in Python.
deep-review
A collaboratively written review paper on deep learning, genomics, and precision medicine
deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
lincs-cell-painting
Processed Cell Painting Data for the LINCS Drug Repurposing Project
neural-processes
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
openfold
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
PlotNeuralNet
Latex code for making neural networks diagrams
pytorch-flows
PyTorch implementations of algorithms for density estimation
tch-rs
Rust bindings for the C++ api of PyTorch.
unlikelihood_training
Neural Text Generation with Unlikelihood Training