chrisvdweth / ml-toolkitLinks
☆64Updated 5 years ago
Alternatives and similar repositories for ml-toolkit
Users that are interested in ml-toolkit are comparing it to the libraries listed below
Sorting:
- A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You can find two approa…☆98Updated 3 years ago
- An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.☆134Updated 5 years ago
- A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.☆101Updated 2 years ago
- A small repo showing how to easily use BERT (or other transformers) for inference☆99Updated 5 years ago
- Implementation of ETSformer, state of the art time-series Transformer, in Pytorch☆157Updated 2 years ago
- A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch☆235Updated 2 years ago
- ☆76Updated 5 years ago
- Neural Networks and Deep Learning, NUS CS5242, 2021☆191Updated 4 years ago
- Code for "Finetuning Pretrained Transformers into Variational Autoencoders"☆39Updated 3 years ago
- RNN Encoder-Decoder in PyTorch☆45Updated last year
- Code for BERT classifier finetuning for multiclass text classification☆71Updated 5 months ago
- A library for making Transformer Variational Autoencoders. (Extends the Huggingface/transformers library.)☆142Updated 4 years ago
- Enabling easy statistical significance testing for deep neural networks.☆338Updated last year
- PyTorch – SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models.☆62Updated 3 years ago
- MODALS: Modality-agnostic Automated Data Augmentation in the Latent Space☆41Updated 4 years ago
- A tour of different optimization algorithms in PyTorch.☆99Updated 3 years ago
- [NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self…☆205Updated 3 years ago
- PyTorch implementation of Variational LSTM and Monte Carlo dropout.☆56Updated 3 years ago
- Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)☆352Updated 2 months ago
- This is where I put things I find useful that speed up my work with Machine Learning. Ever looked in your old projects to reuse those coo…☆263Updated 3 years ago
- A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.☆180Updated 4 years ago
- Original transformer paper: Implementation of Vaswani, Ashish, et al. "Attention is all you need." Advances in neural information process…☆241Updated last year
- [IN PROGRESS] An introduction to generative adversarial networks (GANs) and variational autoencoders (VAEs) in PyTorch, by implementing a…☆33Updated 6 years ago
- Language Modeling Example with Transformers and PyTorch Lighting☆65Updated 5 years ago
- This is the repository for the code that ran the experiments presented in the following article: Introduction to Deep Similarity Learning…☆30Updated 2 years ago
- Multimodal model for text and tabular data with HuggingFace transformers as building block for text data☆611Updated last year
- A curated list of programmatic weak supervision papers and resources☆190Updated 2 years ago
- Code repository for the NAACL 2022 paper "ExSum: From Local Explanations to Model Understanding"☆64Updated 3 years ago
- Boosted neural network for tabular data☆217Updated last year
- Repository for Multimodal AutoML Benchmark☆65Updated 3 years ago