tomarp Goto Github PK

ai-deadlines

:alarm_clock: AI conference deadline countdowns

alphafold

Open source code for AlphaFold.

archlinux

Guide to Installation of Archlinux and other settings

awesome-deep-learning-papers

The most cited deep learning papers

awesome-go

🌟 My personal "awesome" list of Go code, tools, books, and learning resources. I'm very picky about what makes it on. Want to learn Go? Start here.

biopython

Official git repository for Biopython (originally converted from CVS)

blast_plus_docs

coreutils

upstream mirror

data-pre-processing-with-pywren

Use PyWren over IBM Cloud Functions to perform face recognition deep learning

deep-learning-for-medical-applications

Deep Learning Papers on Medical Image Analysis

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

dotfiles-1

:wrench: .files, including ~/.macos — sensible hacker defaults for macOS

epidope

Prediction of B-cell epitopes from amino acid sequences using deep neural networks.

epitopepredict

Python package and command line tool for epitope prediction

face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

face_recognition

The world's simplest facial recognition api for Python and the command line

fastai

The fastai deep learning library, plus lessons and tutorials

fasttext

Library for fast text representation and classification.

glove

GloVe model for distributed word representation

ifeature

iFeature is a comprehensive Python-based toolkit for generating various numerical feature representation schemes from protein or peptide sequences. iFeature is capable of calculating and extracting a wide spectrum of 18 major sequence encoding schemes that encompass 53 different types of feature descriptors. Furthermore, iFeature also integrates five kinds of frequently used feature clustering algorithms, four feature selection algorithms and three dimensionality reduction algorithms.

latex-snippets

Vim + LaTeX snippets setup

lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

learn_data_science_in_3_months

This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube

learning_python

Basic concepts of pyhton language

mmseqs2

MMseqs2: ultra fast and sensitive search and clustering suite

models

Models and examples built with TensorFlow

numpy

The fundamental package for scientific computing with Python.

openpbs

An HPC workload manager and job scheduler for desktops, clusters, and clouds.

openui5

OpenUI5 lets you build enterprise-ready web applications, responsive to all devices, running on almost any browser of your choice.