TranslatedBuild GPT-2 from scratch in PyTorch, step by step
- attention
- chinese
- deep-learning
- from-scratch
Repository Index
47,133 repositories indexed
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Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
- ai-engineering
- course
- data-engineering
- deep-learning
Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.
- nlp
- medical
- text-mining
- clinical-data-warehouse
A Wagtail app that makes building GraphQL endpoints a breeze!
- wagtail
- wagtail-cms
- wagtail-plugin
- wagtail-graphql
PrismQuant: Optimal Null-Space Rotations for Grouped Quantizers
- int4
- large-language-models
- pytorch
- quantization
Graph to sequence implemented in Pytorch combining Graph convolutional networks and opennmt-py
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
- gnn
- graph-neural-netowrks
- signed-networks
- directed-networks
Previews for headless Wagtail setups
A/B testing for Wagtail
- wagtail
- ab-testing
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
- adversarial-attacks
- graph-convolutional-networks
- graph-neural-networks
- pytorch
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
- biological-images
- root
- painter
- segmentation
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
- deep-generative-model
- deep-learning
- single-cell-data-integration
- single-cell-multiomics
An Easy To Use PyTorch Computer Vision Library
- computer-vision
- deep-learning
- pytorch
- pytorch-lightning
MCP server for spatial transcriptomics analysis through natural language interfaces.
- bioinformatics
- cell-communication
- deconvolution
- machine-learning
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
- alphafold3
- docking
- drug-design
- drug-discovery
This repository contains the official PyTorch implementation of GeoDA algorithm. GeoDA is a Black-box attack to generate adversarial example for image classifiers.
A module for importing page content into Wagtail from third-party sources. Docs:
YOLOv5 - most advanced vision AI model for object detection. Natively implemented in PyTorch and exportable to TFLite for use in edge solutions.
PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarity Augmentation"
Tool for suggesting lemma names in Coq verification projects
- coq
- machine-learning
- name-generation
- pytorch
Torchbox website 2024+ incarnation
Panoptic segmentation algorithms for 2D and 3D electron microscopy images
- deep-learning
- semantic-segmentation
- segmentation
- pytorch
A plugin for using jotforms in wagtail
- wagtail
- jotform-api
- wagtail-plugin
A minimalistic codebase for training NLG models from HuggingFace Transformers using PyTorch Lightning.
- bart
- generation
- gpt-2
- language-model