minghao2016 Goto Github PK
Name: Ming Hao
Type: User
Bio: Applied Bioinformatics and Chemoinformatics 4 Drug Discovery (ABC4D)
Ming Hao's Projects
ten_great_papers
Ten great papers for wet lab biologists starting out in computational biology
tensor_gp
Code for Tensor Gaussian Process Regression for predicting drug combination synergy, developed for the AstraZeneca-Sanger Drug Combination Prediction DREAM Challenge 2015: https://www.synapse.org/#!Synapse:syn4231880/wiki/235645
tesseract
Tesseract Open Source OCR Engine (main repository)
tesseract-1
Bindings to Tesseract OCR engine for R
test-stock-prediction-algorithms
Use deep learning, genetic programming and other methods to predict stock and market movements
test.fm
Testing framework for Collaborative Filtering
testthat
An R 📦 to make testing 😀
tetr_lev00_chimera_plugin
A UCSF Chimera plugin for Tetr - a pre-processing tool for DFT codes such as CP2K
text2vec
Fast vectorization, topic modeling, distances and GloVe word embeddings in R.
textclean
Tools for cleaning and normalizing text data
textreuse
Detect text reuse and document similarity
tf3p
Three-dimensional force fields fingerprints
tf_repos
TensorFlow Script
tflearn_wide_and_deep
Pedagogical example realization of wide & deep networks, using TensorFlow and TFLearn.
tfocs
A MATLAB toolbox for building first-order solvers for convex models.
tfprobability
R interface to TensorFlow Probability
tg-lasso
An algorithm for prediction of clinical drug response using preclinical cell line data in cancer
tglkmeans
Efficient Implementation of Kmeans++ Algorithm
thala_rescue_workflow
Pipeline for thalassaemia causal mutation detection
the-art-of-command-line
Master the command line, in one page
the-source-of-hiv-crfs-prediction
Complete source prediction for HIV-1 circulating recombinant forms (CRFs) by multi-label learning
theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
themis
Extra recipes steps for dealing with unbalanced data
themlbooknotes
This repository is aimed to take notes and practice my learnings from an Awesome Machine learning book "The Hundred-Page Machine Learning Book" by Andriy Burkov.
thermonet
ThermoNet is a computational framework for quantitative prediction of the impact of single-point mutations on protein thermodynamic stability. The core algorithm of ThermoNet is an ensemble of deep 3D convolutional neural networks.
thunder-factorization
algorithms for scalable matrix factorization
thundergbm
ThunderGBM: Fast GBDTs and Random Forests on GPUs
tibble
A modern re-imagining of the data frame
tidybde
R package that helps to retrieve data from Banco de España
tidycpp
Tidy C++ wrapping of the C API of R
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