chrisvdweth / ml-toolkit
☆64Updated 4 years ago
Alternatives and similar repositories for ml-toolkit:
Users that are interested in ml-toolkit are comparing it to the libraries listed below
- An LSTM in PyTorch with best practices (weight dropout, forget bias, etc.) built-in. Fully compatible with PyTorch LSTM.☆132Updated 5 years ago
- Code for BERT classifier finetuning for multiclass text classification☆71Updated 2 years ago
- RNN Encoder-Decoder in PyTorch☆44Updated 7 months ago
- [NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self…☆202Updated 2 years ago
- [IN PROGRESS] An introduction to generative adversarial networks (GANs) and variational autoencoders (VAEs) in PyTorch, by implementing a…☆32Updated 6 years ago
- ☆76Updated 5 years ago
- A simple and working implementation of Electra, the fastest way to pretrain language models from scratch, in Pytorch☆224Updated last year
- PyTorch based autoencoder for sequential data☆43Updated 4 years ago
- Code for "Finetuning Pretrained Transformers into Variational Autoencoders"☆39Updated 2 years ago
- ☆29Updated 2 years ago
- Implementation of ETSformer, state of the art time-series Transformer, in Pytorch☆152Updated last year
- Language Modeling Example with Transformers and PyTorch Lighting☆65Updated 4 years ago
- A small repo showing how to easily use BERT (or other transformers) for inference☆99Updated 5 years ago
- A tour of different optimization algorithms in PyTorch.☆94Updated 3 years ago
- PyTorch implementation of Variational LSTM and Monte Carlo dropout.☆56Updated 2 years ago
- Tutorials on using encoder decoder architecture for time series forecasting☆113Updated 3 years ago
- A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.☆98Updated 2 years ago
- pyTorch implementation of Recurrence over BERT (RoBERT) based on this paper https://arxiv.org/abs/1910.10781 and comparison with pyTorch …☆80Updated 2 years ago
- A library for making Transformer Variational Autoencoders. (Extends the Huggingface/transformers library.)☆138Updated 3 years ago
- PyTorch – SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models.☆61Updated 2 years ago
- ☆346Updated 4 years ago
- 👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)☆23Updated 5 years ago
- Enabling easy statistical significance testing for deep neural networks.☆331Updated 8 months ago
- Pytorch implementation of GRU-ODE-Bayes☆230Updated 2 years ago
- A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You can find two approa…☆95Updated 2 years ago
- http://nlp.seas.harvard.edu/2018/04/03/attention.html☆63Updated 3 years ago
- Minimal RNN classifier with self-attention in Pytorch☆150Updated 3 years ago
- PyTorch Implementation of OpenAI GPT☆124Updated last year
- Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)☆327Updated last year
- PyTorch implementation of some attentions for Deep Learning Researchers.☆529Updated 3 years ago