n98848tj's Stars
QiuSimons/YAOF
OpenWrt for Nanopi R2C/R2S/R4S/X86
Gcenx/macOS_Wine_builds
Official Winehq macOS Packages
facebookresearch/esm
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
TylerYep/torchinfo
View model summaries in PyTorch!
tailscale/tailscale
The easiest, most secure way to use WireGuard and 2FA.
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
mrdbourke/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Peldom/papers_for_protein_design_using_DL
List of papers about Proteins Design using Deep Learning
aqlaboratory/openfold
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
RosettaCommons/RFDesign
Protein hallucination and inpainting with RoseTTAFold
ProteinDesignLab/protein_seq_des
Code for our paper "Protein sequence design with a learned potential"
simula/hyper-kvasir
GitHub repository for the Hyper-Kvasir dataset.
soedinglab/hh-suite
Remote protein homology detection suite.
google-deepmind/sonnet
TensorFlow-based neural network library
avirshup/py3dmol
dialvarezs/alphafold
Open source code for AlphaFold.
google-deepmind/alphafold
Open source code for AlphaFold.
guyujun/pyrosetta-basic
iot-salzburg/gpu-jupyter
GPU-Jupyter: Leverage the flexibility of Jupyterlab through the power of your NVIDIA GPU to run your code from Tensorflow and Pytorch in collaborative notebooks on the GPU.
vernesong/OpenClash
A Clash Client For OpenWrt
RosettaCommons/PyRosetta.notebooks
Jupyter Notebooks for learning the PyRosetta platform for biomolecular structure prediction and design
whitews/FlowUtils
FlowUtils is a Python package containing various utility functions related to flow cytometry analysis, primarily focused on compensation and transformation tasks commonly used within the flow community.
whitews/FlowIO
A Python library for reading and writing Flow Cytometry Standard (FCS) files
whitews/FlowKit
A Python toolkit for flow cytometry analysis supporting GatingML and FlowJo workspaces
jeffheaton/t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis