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Type: User
Bio: ML engineer @insitro, previously computational biophysics PhD @pandegroup
Type: User
Bio: ML engineer @insitro, previously computational biophysics PhD @pandegroup
IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University
Accelerated sampling framework with autoencoder-based method
Ipython notebook highlighting the use of decision tree classifiers for MD datasets.
Minimal examples of data structures and algorithms in Python
Advanced Normalization Tools (ANTs)
Implementation of Attention-based Deep Multiple Instance Learning in PyTorch
A collection of important graph embedding, classification and representation learning papers with implementations.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.
web page
The Cooperative Computing Tools (cctools) enable large scale distributed computations to harness hundreds to thousands of machines from clusters, clouds, and grids.
An open-source application for biological image analysis
An open source book that describes a large number of algorithmic techniques from the the fields of Biologically Inspired Computation, Computational Intelligence and Metaheuristics in a complete, consistent, and centralized manner such that they are accessible, usable, and understandable.
Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools
conda build recipes for the Omnia project
OpenMM testbed for constant-pH methodologies.
Public facing notes page
Reimplementation of cycle-gan(https://arxiv.org/pdf/1703.10593.pdf) with improved w-gan(https://arxiv.org/abs/1704.00028) loss in tensorflow.
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Deep-learning models for Drug Discovery and Quantum Chemistry
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.