Roadmap to becoming a web developer in 2021. Contribute to kamranahmedse/developer-roadmap development by creating an account on GitHub.
An Open Source Machine Learning Framework for Everyone - tensorflow/freeze_graph_test.py at master · tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone - tensorflow/tensorflow/tools/dockerfiles at master · tensorflow/tensorflow
4539 datasets • 52161 papers with code.
TensorFlow code and pre-trained models for BERT. Contribute to google-research/bert development by creating an account on GitHub.
Powerful and flexible machine learning library for drug discovery
Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - fairseq/examples/textless_nlp at master · pytorch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - fairseq/examples/textless_nlp/gslm at master · pytorch/fairseq
Discover open source libraries, modules and frameworks you can use in your code
Homepage of paper: Paint Transformer: Feed Forward Neural Painting with Stroke Prediction, ICCV 2021. - GitHub - Huage001/PaintTransformer: Homepage of paper: Paint Transformer: Feed Forward Neura...
Interpreter interface for TensorFlow Lite Models.
Dataset of diseased plant leaf images and corresponding labels - GitHub - spMohanty/PlantVillage-Dataset: Dataset of diseased plant leaf images and corresponding labels
TruEra Open Sources TruLens, A Cross-Framework Python Library For Deep Learning Explainability
A collection of machine learning examples and tutorials. - machine_learning_examples/attention.py at master · lazyprogrammer/machine_learning_examples
Google Research. Contribute to google-research/google-research development by creating an account on GitHub.
Preimage attack against NeuralHash 💣. Contribute to anishathalye/neural-hash-collider development by creating an account on GitHub.
SQL databases in Python, designed for simplicity, compatibility, and robustness. - GitHub - tiangolo/sqlmodel: SQL databases in Python, designed for simplicity, compatibility, and robustness.
Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers" - GitHub - microsoft/Focal-Transformer: Official code for "Focal Self-attention for Loca...
Why a Large-Scale Graph ML Competiton? Machine Learning (ML) on graphs has attracted immense attention in recent years because of the prevalence of graph-structured data in real-world applications. Modern application domains include web-scale social networks, recommender systems, hyperlinked web documents, knowledge graphs (KGs), as well as molecule simulation data generated by the ever-increasing scientific computation. These domains involve large-scale graphs with billions of edges or a dataset with millions of graphs. Deploying accurate graph ML at scale will have a huge practical impact, enabling better recommendation results, improved we...
🧑🏫 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit), optimizers (adam, radam, adabelief), gans(dcgan, cycle...
Only the best, high-quality audio & video datasets for your research. Choose from over 100+ incredible datasets, perfect for your project.
YSDA course in Natural Language Processing. Contribute to yandexdataschool/nlp_course development by creating an account on GitHub.
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