muneebaadil

superduperdb

🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.

BOFN

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

vimari

Safari port of vimium

svg2tikz

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

ISR

Invariant-feature Subspace Recovery (ISR)

codi.vim

:notebook_with_decorative_cover: The interactive scratchpad for hackers.

bash-it

A community Bash framework.

gif

The matplotlib Animation Extension

InvarianceUnitTests

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

causal_transfer_learning

DomainBed

DomainBed is a suite to test domain generalization algorithms

vscode

Visual Studio Code

pgmpy

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

tool-games

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

IntPhys-Baselines

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

mbbl

phyre

PHYRE is a benchmark for physical reasoning.

libinput-gestures

Actions gestures on your touchpad using libinput

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

GlyphNet

Training neural networks to communicate with a visual language

visdom

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

catalyst

Accelerated deep learning R&D

book-resources

pytorch-summary

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

horovod

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

Object-Detection-Metrics

Most popular metrics used to evaluate object detection algorithms.

netron

Visualizer for neural network, deep learning and machine learning models

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

CenterNet

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