Stars
From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)
A multi-backend implementation of the Keras API, with support for TensorFlow, JAX, and PyTorch.
Pytorch Geometric Tutorials
A Linux Shell in C implemented using system calls. Various commands like pwd, echo, cd, ls, foreground processes, background processes, pinfo, quit, piping & redirection along with signal handling …
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.
AAAI'21: Data Augmentation for Graph Neural Networks
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Implementation of the Paper "Learning Continuous and Data-Driven Molecular Descriptors by Translating Equivalent Chemical Representations" by Robin Winter, Floriane Montanari, Frank Noe and Djork-A…
Forked from mit-pdos/xv6-riscv. An Operating System in C, modified from Xv6 for RISC-V.
Analysis and correlation between stock market data and environment
Open source code for AlphaFold 2.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Basically listing out how to get some basic logistics out of the way
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Code for paper "TrimNet: learning molecular representation from triplet messages for biomedicine "
A simple Ray Tracing Rendering Engine written in Python
📢 A curated list of upcoming conferences, events, journal, and other resources in the field of computer vision, and medical image analysis.
Proof assistant based on the λΠ-calculus modulo rewriting
"We must know. We shall know." - David Hilbert
Code for NeurIPS 2019 paper "From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI"
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …