Giter VIP home page Giter VIP logo

jnsong's Projects

996.icu icon 996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

adversarial icon adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

cell-image-classification icon cell-image-classification

Cell image classsification with neural networks (MLP, ConvNet) and other statistical ML models (SVM, LDA, LR, etc.).

cmappy icon cmappy

Assorted tools for interacting with .gct, .gctx files and other Connectivity Map (Broad Institute) data/tools

d3 icon d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

deepmind-research icon deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

handson-ml icon handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

lsc icon lsc

Large-scale comparison of machine learning methods for drug target prediction on ChEMBL

macau icon macau

Bayesian Factorization with Side Information in C++ with Python wrapper

multiagent-particle-envs icon multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

nnet-gmatrix icon nnet-gmatrix

Deep Neural Network implementation built on the gmatrix R package.

organ icon organ

Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

organic icon organic

Code repo for optimizing distributions of molecules.

paper-bray2017 icon paper-bray2017

Source code from Bray et al., (2017) A dataset of images and morphological profiles of 30,000 small-molecule treatments using the Cell Painting assay.

plip icon plip

Protein-Ligand Interaction Profiler - Analyze and visualize non-covalent protein-ligand interactions in PDB files

rdkit icon rdkit

A forked RDkit with some tweaks for easy installing on environments specific to the Dark Reactions Project

rocalphago icon rocalphago

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.

rxnpredict icon rxnpredict

Predicting reaction performance using machine learning

seqgan icon seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.