Pinned Repositories
2019-nCov
Efforts towards proposing a potentially highly active molecule against a target protein of the 2019 Novel Coronavirus
3d-photo-inpainting
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
Advanced-Natural-Language-Processing-with-TensorFlow-2
Advanced Natural Language Processing with TensorFlow 2, published by Packt
AIdrugdiscovery
algoexpert
70 Question from https://www.algoexpert.io
algoexpert-1
AlgoExpert Solutions
Algorithms
:computer: Data Structures and Algorithms in Python
Algorithms-and-Coding-Interviews
Open source content from a book in progress, Hands-on Algorithmic Problem Solving
AnatomyOfMatplotlib
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
annotated-transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
Deepstatsanalysis's Repositories
Deepstatsanalysis/SRU-deeplearning-workshop
دوره 12 ساعته یادگیری عمیق با چارچوب Keras
Deepstatsanalysis/SalesAnalysis
Deepstatsanalysis/pyspark-setup-demo
Demo of PySpark and Jupyter Notebook with the Jupyter Docker Stacks
Deepstatsanalysis/Unicycler
hybrid assembly pipeline for bacterial genomes
Deepstatsanalysis/AMIDD
Introduction to Applied Mathematics and Informatics in Drug Discovery (AMIDD)
Deepstatsanalysis/tflearn
Deep learning library featuring a higher-level API for TensorFlow.
Deepstatsanalysis/GraphDTA
Prediction of drug–target binding affinity using graph neural networks
Deepstatsanalysis/drug-computing
Educational materials for, and related to, UC Irvine's Drug Discovery Computing Techniques course (PharmSci 175/275), currently taught by David Mobley.
Deepstatsanalysis/algoexpert
70 Question from https://www.algoexpert.io
Deepstatsanalysis/2019-nCov
Efforts towards proposing a potentially highly active molecule against a target protein of the 2019 Novel Coronavirus
Deepstatsanalysis/AI2
Deepstatsanalysis/deep-face-recognition
One-shot Learning and deep face recognition notebooks and workshop materials
Deepstatsanalysis/generative-neural-fingerprint
Compilation of models created to learn + generate molecular structures.
Deepstatsanalysis/awesome-capsule-networks
A curated list of awesome resources related to capsule networks
Deepstatsanalysis/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Deepstatsanalysis/CreditCardFraud
Deepstatsanalysis/dockingML
A package for MD, Docking and Machine learning drug discovery pipeline
Deepstatsanalysis/3D-Human-Body-Shape
Deepstatsanalysis/Awesome_BigData_AI_DrugDiscovery
A collection of resources useful for leveraging big data and AI for drug discovery. It mainly serves as an orientation for new lab folks. It may be biased towards my lab interest.
Deepstatsanalysis/Vaccine-target-for-2019-nCoV
In silico identification of vaccine targets for 2019-nCoV
Deepstatsanalysis/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Deepstatsanalysis/Math-of-Machine-Learning-Course-by-Siraj
Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.
Deepstatsanalysis/rnn-notebooks
RNN(SimpleRNN, LSTM, GRU) Tensorflow2.0 & Keras Notebooks (Workshop materials)
Deepstatsanalysis/drug-discovery
Molecular docking workspace for virtual screening campaigns
Deepstatsanalysis/FocusNow
Mchacks Hackathon Project
Deepstatsanalysis/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Deepstatsanalysis/ChemGAN-challenge
Code for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
Deepstatsanalysis/rl_graph_generation
Deepstatsanalysis/PRML
PRML algorithms implemented in Python
Deepstatsanalysis/Rcpi
Molecular informatics toolkit with a comprehensive integration of bioinformatics and cheminformatics tools for drug discovery.