vinven7 Goto Github PK

ai-feynman

awesome-papers

Papers & presentations from Hugging Face's weekly science day

batterybert

BatteryBERT: A Pre-trained Language Model for Battery Database Enhancement

bert-loves-chemistry

bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.

bert-relation-extraction

PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper

borges

Web Scarping Engines

candidate_skill_assessment_using_graph_neural_network

Final Year Project work

categorizing-figures-from-biomedical-research-articles-using-deep-neural-networks-and-bioassays

The project’s main objective is to extract knowledge from the biomedical research papers that contain diagrams/charts, i.e., bar graphs, line graph, boxplot, images of CT scans, cells, and other types of biological tests (known as assays). Research papers contain panels that have information in images or diagrams. The goal is to identify each panel from given datasets and categorize it into BioAssay Ontology categories with the help of machine learning and deep neural networks model. An additional focus of the project is to predict and identify the similarities between BioAssay Ontology categories and find their correlation. The dataset we are using is from SourceData, an initiative by EMBO (European Molecular Biology Organization). So, this project will record details of the correlation of BioAssay Ontology categories, predict and identify the panel with the help of a Convolutional neural network model.

cdesnowball

ChemDataExtractor toolkit updated to include semi-supervised quaternary relationship extraction

chemdataextractor

Automatically extract chemical information from scientific documents

colab_home

covid-19

A collection of work related to COVID-19

cqd

Continuous Query Decomposition for Complex Query Answering in Incomplete Knowledge Graphs

cs224w-2021-winter-colab

cs224w（图机器学习）2021冬季课程的colab

cs224w-colab

Solutions for CS224W Winter 2021 Colab

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deepdream

Deep dream implementation with inception model

deeplearningexamples

Deep Learning Examples

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

edgnn

Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"

emotion-recognition

Real time emotion recognition

examples

Some code examples

face_classification

Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.

fdgnn-fraud-address-detection-on-ethereum-using-graph-neural-network

fourier

A visually intuitive take on Fourier Transform based on a youtube video by 3Blue1Brown

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

gnns-for-nlp

Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020

graph-convolutional-networks-with-cora-dataset

Graph neural networks (GNNs) is implemented with Cora datset using Spektral module.

graph-convolutional-neural-network