This repository contains my Kaggle notebooks. They are generally about data science, machine learning, and deep learning. A comprehensive list is available in README.
In this notebook, three transformer model namely BERT, XLMRoBERTa, and DistilBERT has been used for binary classification of Rumi and Saadi poetry.
Attentive Implicit Representation Networks (AIR-Nets) Preprint | Supplementary | Accepted at the International Conference on 3D Vision (3DV) teaser.mo
An AutoML Library made with Optuna and PyTorch Lightning Installation Recommended pip install -U gradsflow From source pip install git+https://github.
A framework for adversarial attacks against token classification models
My_Project_Code Its a Plant Leaf Disease Detection System based on Machine Learning. I have used Tomato Leaves Dataset from kaggle. This system detect
说明 个人根据使用习惯修改masnmap而来的一个小工具。调用masscan做全端口扫描，再调用nmap做服务识别，最后调用Finger做Web指纹识别。工具使用场景适合风险探测排查、众测等。 使用方法 安装依赖 pip3 install -r requirements.txt -i https:/
Here is Poutyne. Poutyne is a simplified framework for PyTorch and handles much of the boilerplating code needed to train neural networks. Use Poutyne
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik, Kuan Fang, Yu
AFLFast Power schedules implemented by Marcel Böhme [email protected]
A Strong Baseline for Image Semantic Segmentation Introduction This project is an open source semantic segmentation toolbox based on PyTorch. It is ba
This is a model made out of Neural Network specifically a Convolutional Neural Network model. This was done with a pre-built dataset from the tensorflow and keras packages. There are other alternativ
AdderNet: Do We Really Need Multiplications in Deep Learning? This code is a demo of CVPR 2020 paper AdderNet: Do We Really Need Multiplications in De
Kata: Clean Machine Learning From Dirty Code First, open the Kata in Google Colab (or else download it) You can clone this project and launch jupyter-
Domain Transfer Network (DTN) TensorFlow implementation of Unsupervised Cross-Domain Image Generation. Requirements Python 2.7 TensorFlow 0.12 Pickle
PyTorch implementation of AnimeGANv2
PGMax implements general factor graphs for discrete probabilistic graphical models (PGMs), and hardware-accelerated differentiable loopy belief propagation (LBP) in JAX.
ParNet Custom Implementation of Non-deep Networks arXiv:2110.07641 Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun Official Repository https
darija-dictionary Having advanced IT solutions that are well adapted to the Moroccan context passes inevitably through understanding Moroccan dialect.
OmiTrans Please also have a look at our multi-omics multi-task DL freamwork 👀 : OmiEmbed The FIRST GANs-based omics-to-omics translation framework Xi
Numerical Bric-a-Brac Collections of numerical techniques with Python and standard computational packages (Numpy, SciPy, Numba, Matplotlib ...). Diffe
TUPÃ: Electric field analyses for molecular simulations What is TUPÃ? TUPÃ (pronounced as tu-pan) is a python algorithm that employs MDAnalysis engine
29 Dec 07, 2022
294 Dec 17, 2022
23 Nov 25, 2022
3 Jun 15, 2022
3 Mar 25, 2022
534 Dec 17, 2022
63 Jan 03, 2023
380 Jan 03, 2023
49 Sep 20, 2022
9 Oct 18, 2022
915 Jan 01, 2023
13 Nov 03, 2022
865 Nov 17, 2022
4k Jan 07, 2023
62 Dec 23, 2022
20 May 27, 2022
102 Jan 01, 2023
6 Dec 14, 2022
10 Dec 20, 2021
10 Jul 17, 2022