6340 Open source projects that are alternatives of or similar to Allensdk

Scipy Cookbook

A Python platform for Structural Bioinformatics

Deep learning infrastructure for bioinformatics

Solutions to assignments of Coursera Specializations - Deep learning, Machine learning, Algorithms & Data Structures, Image Processing and Python For Everybody

UNCURL is a tool for single cell RNA-seq data analysis.

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

Examples of using deep learning in Bioinformatics

GCP Essentials for Bioinformatics Researchers

Protein Graph Library

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.

Decentralized Machine Learning Client

(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form

Text detection model that combines Retinanet with textboxes++ for OCR

Multi-Graph Convolutional Neural Networks

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Implementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym

This trading-gym is the first trading for agent to train with episode of short term trading itself.

Repository for coursera specialization Applied Data Science with Python by University of Michigan

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.

retrain gpt-2 in colab

Go binding for TensorFlow Lite

A powerful open source data warehouse system

Auto-ReID and Other Person Re-Identification Projects

🍔

Automatic image captioning model based on Caffe, using features from bottom-up attention.

Getting start with PySpark and MLlib

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

책) 파이썬으로 데이터 주무르기 - 소스코드 및 데이터 공개

Codes related to various ML Hackathons

Build a CNN network to predict 3D bounding box of car from 2D image.

Scripts and code examples. Includes Spark notes, Jupyter notebook examples for Spark, Impala and Oracle.

RadIO is a library for data science research of computed tomography imaging

A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

Scripts/Notebooks used for my articles published on Medium

Intro to deep learning for medical imaging lesson, by MD.ai

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars

Auxiliary Classifier Generative Adversarial Networks in Keras

Python for Finance Cookbook, published by Packt

An electronic simulation library written in pure Python

Python tutorials for introduction to machine learning

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

Veri Defteri Üzerine Kısa Notlar (www.veridefteri.com)

This is a tutorial for PyTorch Geometric on the YooChoose dataset

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

Example of "biological" learning for MNIST

🎄 Virtual DOM for Python

Convolutional neural network analysis for predicting DNA sequence activity.

Various Notebooks for Lernapparat.de

Deep learning codes and projects using Python

Library extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.

Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"