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PeaBrane / mamba-tiny
Forked from johnma2006/mamba-minimalSimple, minimal implementation of the Mamba SSM in one pytorch file. Using logcumsumexp (Heisen sequence).
Repo for the paper on Attention Bias Calibration for Transformer models
Code for reproducing key results in the paper "Neural Shuffle-Exchange Networks - Sequence Processing in O(n log n) Time" by Kārlis Freivalds, Emīls Ozoliņš and Agris Šostaks
Residual Shuffle-Exchange Networks: Unofficial PyTorch Implementation
LSTM, RNN and GRU implementations using Pytorch
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Implementation of Rotary Embeddings, from the Roformer paper, in Pytorch
Implement the paper "Self-Attention with Relative Position Representations"
A repository containing tutorials for practical NLP using PyTorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
This is where I put all my work in Natural Language Processing
Neural Machine Translation with Attention (PyTorch)
A curated list of awesome Machine Learning frameworks, libraries and software.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Part-of-speech tagger with character-level features using PyTorch
💫 Models for the spaCy Natural Language Processing (NLP) library
💫 Industrial-strength Natural Language Processing (NLP) in Python
A Pytorch implementation of "Matrix Capsules with EM routing"
Freeze (package) Python programs into stand-alone executables
GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of (ambiguous pronoun, antecedent name), sampled from Wikipedia for the evaluation of coreference resolution in practica…
Deep Learning with PyTorch, published by Packt
✨Fast Coreference Resolution in spaCy with Neural Networks