muneebaadil

vscode

Visual Studio Code

netron

Visualizer for neural network, deep learning and machine learning models

bash-it

A community Bash framework.

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

visdom

A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

CenterNet

Object detection, 3D detection, and pose estimation using center point detection:

Object-Detection-Metrics

Most popular metrics used to evaluate object detection algorithms.

superduper

Superduper: Integrate AI models and machine learning workflows with your database to implement custom AI applications, without moving your data. Including streaming inference, scalable model hosting, training and vector search.

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

libinput-gestures

Actions gestures on your touchpad using libinput

catalyst

Accelerated deep learning R&D

codi.vim

:notebook_with_decorative_cover: The interactive scratchpad for hackers.

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

vimari

Safari port of vimium

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

DomainBed

DomainBed is a suite to test domain generalization algorithms

tps_stn_pytorch

PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)

CSP

High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection, CVPR, 2019

gif

The matplotlib Animation Extension

svg2tikz

An Inkscape extension for exporting SVG paths as TikZ/PGF paths

phyre

PHYRE is a benchmark for physical reasoning.

mbbl

book-resources

GlyphNet

Training neural networks to communicate with a visual language

tool-games

Physics games involving tool use for studying human physical representations and rapid trial-and-error learning

InvarianceUnitTests

Toy datasets to evaluate algorithms for domain generalization and invariance learning.

causal_transfer_learning

IntPhys-Baselines

Code for paper "IntPhys: A Benchmark and Dataset for Intuitive Physics".

ISR

Invariant-feature Subspace Recovery (ISR)

BOFN

Companion code release to "Bayesian Optimization of Function Networks", published in NeurIPS 2021.