anirudhdagar Goto Github PK

gsoc

Blog for TMVA Interfaces PyTorch, GSoC @ CERN-HSF

h-gcn

Source code and datasets for the paper "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification" (IJCAI-19)

iclr.github.io

image-extraction

Code for extracting images from PDFs

lectures

Oxford Deep NLP 2017 course

lpthw

Learning Python The Hard Way

messagepassing_for_gnns

Experiments with Message Passing GNNs in C++ and PyTorch.

ml-interviewqs

This is a question bank for practicing Machine Learning for Interviews.

mx-theme

nn4nlp-code

Code Samples from Neural Networks for NLP

notedown

Markdown <=> IPython Notebook

numpy

The fundamental package for scientific computing with Python.

paperviz

AI conference papers search space visualized based on similarity.

pooch

A friend to fetch your data files

pydata-sphinx-theme

A clean, three-column Sphinx theme with Bootstrap for the PyData community

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

qs-intern-talk

My Internship Talk @quansight-labs

quansight-labs-site

Development site and blog for Quansight Labs

random-tests

This repo will be used to save and run random scripts and tests.

robust-physical-attack

Physical adversarial attack for fooling the Faster R-CNN object detector

root

The official repository for ROOT: analyzing, storing and visualizing big data, scientifically

scipy

Scipy library main repository

scipy-datasets

swift

Swift for TensorFlow Project Home Page

tensorflow

Computation using data flow graphs for scalable machine learning

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

tmva_experiments

Some experiments with particle physics datasets.

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.