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Advanced Deep Learning with Keras, published by Packt
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
An open-source NLP research library, built on PyTorch.
๐งโ๐ซ 50! Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
A Keras+TensorFlow Implementation of the Transformer: Attention Is All You Need
A PyTorch implementation of the Transformer model in "Attention is All You Need".
TensorFlow - A curated list of dedicated resources http://tensorflow.org
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Keras implementation of BERT with pre-trained weights
Google AI 2018 BERT pytorch implementation
PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
BioGrakn Knowledge Graph
BioM-Transformers: Building Large Biomedical Language Models with BERT, ALBERT and ELECTRA
Full abstract relation extraction from biological texts with bi-affine relation attention networks
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
A PyTorch and TorchDrug based deep learning library for drug pair scoring.
Tensorflow Implementation of Convolutional Neural Network for Relation Extraction (COLING 2014, NAACL 2015)
Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deepย Learning"
Annotated Data for the COVID-19 Open Research Dataset Challenge
BERT semantic search engine for searching literature research papers for coronavirus covid-19 in google colab
Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
Public facing notes page
Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.
A curated list of data science blogs
๐ค Fast, efficient, open-access datasets and evaluation metrics for Natural Language Processing and more in PyTorch, TensorFlow, NumPy and Pandas
A community run, 5-day PyTorch Deep Learning Bootcamp
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Experiments with Deep Learning
Code repository for Deep Learning with Keras published by Packt
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.