putama

putama's Stars

• facebookresearch/fairseq

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  Language:Python30.4k4264.2k6.4k

• lanpa/tensorboardX

  tensorboard for pytorch (and chainer, mxnet, numpy, ...)

  Language:Python7.9k84451862

• NVIDIA/pix2pixHD

  Synthesizing and manipulating 2048x1024 images with conditional GANs

  Language:Python6.7k1683131.4k

• jacobeisenstein/gt-nlp-class

  Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

  Language:TeX4.9k320281.1k

• pytorch/text

  Models, data loaders and abstractions for language processing, powered by PyTorch

  Language:Python3.5k307796811

• jalammar/ecco

  Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

  Language:Jupyter Notebook2k2464169

• GMvandeVen/continual-learning

  PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

  Language:Jupyter Notebook1.6k2830311

• UKPLab/EasyNMT

  Easy to use, state-of-the-art Neural Machine Translation for 100+ languages

  Language:Python1.2k1990116

• keijiro/PuppetTest

  An experiment in procedural dance animation

  Language:C#86332479

• MaximumEntropy/Seq2Seq-PyTorch

  Sequence to Sequence Models with PyTorch

  Language:Python7362217161

• inception-project/inception

  INCEpTION provides a semantic annotation platform offering intelligent annotation assistance and knowledge management.

  Language:Java593152.8k151

• ArthurZC23/Machine-Learning-A-Probabilistic-Perspective-Solutions

  My solutions to Kevin Murphy Machine Learning Book

  Language:Jupyter Notebook536508119

• uber-research/learning-to-reweight-examples

  Code for paper "Learning to Reweight Examples for Robust Deep Learning"

  Language:Python269101252

• ppaquay/Learning-from-Data-Solutions

  Repository of my solutions to the problems of "Learning from Data"

  2657671

• bastings/annotated_encoder_decoder

  The Annotated Encoder Decoder with Attention

  Language:Jupyter Notebook1665432

• jiacheng-xu/vmf_vae_nlp

  Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"

  Language:Python1668918

• Guzpenha/transformer_rankers

  A library to conduct ranking experiments with transformers.

  Language:Python1619519

• OanaMariaCamburu/e-SNLI

  Language:Python15813929

• AsaCooperStickland/Bert-n-Pals

  Pytorch implementation of Bert and Pals: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning (https://arxiv.org/abs/1902.02671)

  Language:Python812226

• aetting/lm-diagnostics

  Diagnostic tests for linguistic capacities in language models

  Language:Python66215

• xthan/fashion-200k

  Fashion 200K dataset used in paper "Automatic Spatially-aware Fashion Concept Discovery."

  632011

• mandarjoshi90/pair2vec

  pair2vec: Compositional Word-Pair Embeddings for Cross-Sentence Inference

  Language:Python61738

• mblondel/smooth-ot

  Python implementation of smooth optimal transport.

  Language:Python564213

• chrisc36/debias

  Methods of training NLP models to ignored biased strategies

  Language:Python55226

• artidoro/frank

  FRANK: Factuality Evaluation Benchmark

  Language:Python52394

• microsoft/TaxiNLI

  Taxonomic Fragmentation of the NLI Task

  20813

• sai-prasanna/bert-experiments

  Language:Jupyter Notebook20523

• songhwanjun/ActiveBias

  Language:Python20113

• joshuabambrick/Falsesum

  This repository contains code to derive the data generated by the pipeline described in the paper "Falsesum: Generating Document-level NLI Examples for Recognizing Factual Inconsistency in Summarization".

  Language:Python8221

• ohadrozen/generalization

  Coming soon! The datasets used for our paper will be available soon.

  4201