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🦜🔗 Build context-aware reasoning applications
LlamaIndex is a data framework for your LLM applications
Predictive Chemistry Augmented with Text Retrieval
Tevatron - A flexible toolkit for neural retrieval research and development.
Robust Molecular Structure Recognition with Image-to-Graph Generation
Converts clipboard content to smiles and much more
A Sequence Generation Model for Reaction Diagram Parsing
From a chemical reaction image, detect and classify molecules, text and arrows by using the Vision Transformer DETR. Comparisons with well-established CNNs (RetinaNet and FasterRCNN also provided).…
Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)
Universal cheminformatics toolkit, utilities and database search tools
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Tensors and Dynamic neural networks in Python with strong GPU acceleration
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.
This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"
A Large-Scale Few-Shot Relation Extraction Dataset
higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.
A Graph-Based Framework for Information Extraction
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
"Few-shot Text Classification with Distributional Signatures" ICLR 2020
XLNet: Generalized Autoregressive Pretraining for Language Understanding
This repo is for the IBM MIT AI Lab to use DLaaS in IBM Watson Studio. The demo will use Pytorch to train VGG for CIFAR10. The code is forked from kuangliu (https://github.com/kuangliu/pytorch-cifa…
Code for the paper "Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning" http://arxiv.org/abs/1603.07954
A PyTorch implementation of the Transformer model in "Attention is All You Need".