M-68 / ActivationFunctionsLinks
Implementing activation functions from scratch in Tensorflow.
☆36Updated 3 years ago
Alternatives and similar repositories for ActivationFunctions
Users that are interested in ActivationFunctions are comparing it to the libraries listed below
Sorting:
- Large Scale BERT Distillation☆32Updated 2 years ago
- Repository for group 17 on the Statistical Natural Language Processing module at UCL☆22Updated 3 years ago
- Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.☆20Updated 3 years ago
- Neural Search System on Arxiv AI/ML Papers☆54Updated 3 years ago
- Generating Training Data Made Easy☆43Updated 4 years ago
- ☆14Updated 5 years ago
- Collection of simple functions reusable across ML projects.☆20Updated 3 years ago
- Minimalistic TensorFlow2+ deep metric/similarity learning library with loss functions, miners, and utils as embedding projector.☆37Updated 2 years ago
- TorchServe+Streamlit for easily serving your HuggingFace NER models☆33Updated 2 years ago
- An Easy To Use PyTorch Computer Vision Library☆51Updated last year
- Implementation of modern data augmentation techniques in TensorFlow 2.x to be used in your training pipeline.☆34Updated 4 years ago
- High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.☆86Updated 3 years ago
- Open Source Annotation Tools for Computer Vision and NLP tasks☆53Updated 3 years ago
- A collection of model deployment library and technique.☆73Updated 4 years ago
- MT Tutorial for the JSALT 2019 Summer School☆48Updated 5 years ago
- ☆15Updated 4 years ago
- A 🤗-style implementation of BERT using lambda layers instead of self-attention☆69Updated 4 years ago
- This repository contains notebooks showing how to perform mixed precision training in tf.keras 2.0☆12Updated 5 years ago
- An implementation of BERT using PyTorch's TransformerEncoder☆33Updated 5 years ago
- Tools for training pytorch language models☆27Updated 4 years ago
- ☆13Updated 3 years ago
- Tensorflow port implementation of Single Headed Attention RNN☆16Updated 5 years ago
- ☆31Updated 5 years ago
- Deep Learning and Natural Language Processing using PyTorch (O'Reilly AI - NYC, 2019)☆11Updated 6 years ago
- Information for readers of the fastai book☆68Updated 4 years ago
- My projects for fast.ai's Deep Learning from the Foundations course (fast.ai part2v3)☆39Updated 5 years ago
- Sequence models in Numpy☆25Updated 4 years ago
- ☆17Updated 4 years ago
- ✨ A report of the most important NLP highlights (A Yearly Report - 2018, 2019)☆16Updated 5 years ago
- Code for Paper "Target-oriented Fine-tuning for Zero-Resource Named Entity Recognition"☆21Updated 2 years ago