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depthai-python

DepthAI Python Library

hesaff

Hessian Affine detector with SIFT descriptor, CMP implementation

hgnn

Hypergraph Neural Networks (AAAI 2019)

hypergcn

NeurIPS 2019: HyperGCN: A New Method of Training Graph Convolutional Networks on Hypergraphs

implicit-sdf-planner

[IROS 2023] Continuous Implicit SDF Based Any-shape Robot Trajectory Optimization

inverse-compositional-cuda

CUDA implementation of a multitemplate variant of the Inverse Compositional image registration algorithm (see http://wv.inf.tu-dresden.de/~wiki/Robotics/Papers/Baker/Baker-04-LK20part4.pdf)

jellyfin

The Free Software Media System

learnopencv

Learn OpenCV : C++ and Python Examples

libgit2

A cross-platform, linkable library implementation of Git that you can use in your application.

libgit2wrapper

High level C++ wrapper around LibGit2

lossless-cut

The swiss army knife of lossless video/audio editing

manim

Animation engine for explanatory math videos

mscfinalproject

mscthesis

pdftitle

PDF article title extraction tool

rebel

An algorithm that generalizes the paradigm of self-play reinforcement learning and search to imperfect-information games.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

speedchallenge

stable-diffusion

A latent text-to-image diffusion model

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

welleapi

To buy Welle, please visit www.getwelle.com