7418 Repositories
An implementation of the Fibonacci method for gradient descent, featuring a TKinter GUI for inputting the function / parameters to be examined and a matplotlib plot of the function and results.
Meterm a terminal with python 😎 How to use Clone Project: $ git clone https://github.com/motahharm/meterm.git Run: in Terminal: meterm.exe Or pip ins
Extracting atomic fingerprints from molecules using pretrained Graph Neural Network models (GROVER).
Description This library provides an abstraction to perform Model Versioning using Weight & Biases. Features Version a new trained model Promote a mod
About A web application which provides real time temperature and humidity readings of a house. If you're interested in the data collected so far click
In this repo we reproduce and extend results of Learning in High Dimension Always Amounts to Extrapolation by Balestriero et al. 2021. Balestriero et
TUPE PyTorch implementation of Rethinking Positional Encoding in Language Pre-training. Quickstart Clone this repository. git clone https://github.com
Simple-DMA a simple Dual Memory Architecture for classifications. based on the paper Dual-Memory Deep Learning Architectures for Lifelong Learning of
Aalto-CS-MSc-Theses Listing of M.Sc. Theses of the Department of Computer Scienc
Course: Introduction to Applied Algorithms with Python (in French) This is the source code of the website for the Applied Algorithms with Python cours
Self-Supervised Anomaly Segmentation Intorduction This is a PyToch implementation of A Novel Self-supervised Learning Task Designed for Anomaly Segmen
☢️ Audiomer ☢️ Audiomer: A Convolutional Transformer for Keyword Spotting [ arXiv ] [ Previous SOTA ] [ Model Architecture ] Results on SpeechCommands
gapmm2: gapped alignment using minimap2 This tool is a wrapper for minimap2 to r
GANs for Fun Created because I can! GOAL The goal of this repo is to be freely used by ML devs to check the GAN performances without coding from scrat
Deep Learning for Natural Language Processing SS 2021 (TU Darmstadt) Task Training huge unsupervised deep neural networks yields to strong progress in
AFGHANISTAN RANDOM OLD IDZ CLONER TOOLS Install $ apt update $ apt upgrade $ apt
real-life-contra Description A python script that translates the body movement into in game control. Welcome to all new real life contra a deep learni
Hitters_Linear_Regression Kullanacağımız veri seti Carnegie Mellon Üniversitesi'
How to run download required files make build_image make download Docker versio
BC3407-Group-5-Project As the world struggles to contain the ever-changing varia
Bib Parser Convenient script to parse .bib files with the ACM Digital Library li
The current workflow simulates brain functional connectivity (FC) from structural connectivity (SC) with a neural mass model. Gradient descent is applied to optimize the parameters in the neural mass model.
CORNELLSASLAB SAS output to EXCEL converter for Cornell/MIT Language and acquisition lab Instructions: This python code can be used to convert SAS out
Deep Q-Learning Recommend papers The first step is to read and understand the method that you will implement. It was first introduced in a 2013 paper
Static Features Classifier This is a static features classifier for Point-Could
KorBERT를 활용한 한국어 텍스트 기반 위협 상황인지(2020 인공지능 그랜드 챌린지) 본 프로젝트는 ETRI에서 제공된 한국어 korBERT 모델을 활용하여 폭력 기반 한국어 텍스트를 분류하는 다양한 분류 모델들을 제공합니다. 본 개발자들이 참여한 2020 인공지
Exploration-Exploitation Dilemma Solving Methods Medium article for this repo - HERE In ths repo I implemented two techniques for tackling mentioned t
🎁 Exe To Office Executable file injection to Office documents: .xlsm, .docm, .p
Deep Learning on SDF for Classifying Brain Biomarkers To reproduce the results f
A task Provided by A respective Alternal Ai and Ml based Company to complete it .
tinos_eisai_sy Get the partition that a file belongs and the percentage of space that consumes (works only with OSes that use the df command) tinos_ei
Forecasting with the Temporal Fusion Transformer Multi-horizon forecasting often contains a complex mix of inputs – including static (i.e. time-invari
DTCN This is the implementation of our paper "Sequential Prediction of Social Me
DTCN This is the implementation of our paper "Sequential Prediction of Social Me
Screen Recorder in Python Project Description: In this project, we'll be making our own screen recorder in Python using some libraries. Requirements:
keras_udrl Keras implementation of Upside Down Reinforcement Learning This is me
Low Level Variable Length Intermediate Representation Low Level Variable Length
FastAnnotation Table of contents General info Requirements Setup General info This is a simple framework to make object detection dataset very quickly
This is a simple Python game for finding a heart emoji. There is a 3 x 3 matrix in which a heart emoji resides. The location of the heart is randomized and is not revealed. The player must guess the location of the heart inside this matrix by typing in coordinates of row and column. For example, if the player suspects that the heart is located in the second row and second column, the player must type in 22 (for 2nd row and 2nd column, respectively).
Kaoft A programming language written with python How to use A simple Hello World: c="Hello World" c Output: "Hello World" Operators: a=12
Reinforcement Learning for Blackjack Author: ZHA Mengyue Math Department of HKUST Problem Statement We study playing Blackjack by reinforcement learni
Near-Duplicate Video Retrieval with Deep Metric Learning This repository contains the Tensorflow implementation of the paper Near-Duplicate Video Retr
This repository is all about spending some time the with the original problem posed by Minsky and Papert. Working through this problem is a great way to begin learning computer vision.
Advantage Actor Critic (A2C): jax + flax implementation Current version supports only environments with continious action spaces and was tested on muj
Description This script helps the user to update Linux and Mac systems through the terminal. All the user has to install some requirements and then ru
ros2_voiceroid2 ROS2 wrapper package of VOICEROID2 Windows Only Installation Ins
A research on image classification and auto insurance claim prediction, a systematic experiments on modeling techniques and approaches
Pedestrian Detection using OpenCV Python Follow us on Instagram for Machine Lear
RobustFreqCNN About This repository contains the implementation of the paper "Towards Frequency-Based Explanation for Robust CNN" arxiv. It primarly d
Video-Captioning - A machine Learning project to generate captions for video frames indicating the relationship between the objects in the video
hackinsta a program to hack instagram Yokoback_(instahack) is the file to open, you need libraries write on import. You run that file in the same fold
本项目的CSDN博客链接:https://blog.csdn.net/weixin_41578567/article/details/111482022 1. 概览 本项目主要用于神经网络的学习,通过基于numpy的实现,了解神经网络底层前向传播、反向传播以及各类优化器的原理。 该项目目前已实现的功
BasicNeuralNetwork - This project looks over the basic structure of a neural network and how machine learning training algorithms work. For this project, I used the sigmoid function as an activation function along with stochastic gradient descent to adjust the weights and biases.