pigooosuke's Stars
facebookresearch/poincare-embeddings
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
TropComplique/lda2vec-pytorch
Topic modeling with word vectors
brain-research/l2hmc
TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
jwyang/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
openai/generating-reviews-discovering-sentiment
Code for "Learning to Generate Reviews and Discovering Sentiment"
jacobgil/pytorch-zssr
PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning
rguthrie3/DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
hengyuan-hu/bottom-up-attention-vqa
An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
edwardlib/papers
Edward content including papers, posters, and talks
blei-lab/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
ritchieng/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
asappresearch/sru
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
andrewt3000/DL4NLP
Deep Learning for NLP resources
RedditSota/state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
philipperemy/keract
Layers Outputs and Gradients in Keras. Made easy.
fastai/fastai
The fastai deep learning library
hardmaru/estool
Evolution Strategies Tool
IntelLabs/coach
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
aimacode/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Kyubyong/nlp_tasks
Natural Language Processing Tasks and References
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
tensorflow/lattice
Lattice methods in TensorFlow
uwdata/termite-visualizations
[development moved to termite-data-server]
OpenMined/PySyft
Perform data science on data that remains in someone else's server
akashgit/autoencoding_vi_for_topic_models
Tensorflow implementation for prodLDA and NVLDA.
bmabey/pyLDAvis
Python library for interactive topic model visualization. Port of the R LDAvis package.
cleverhans-lab/cleverhans
An adversarial example library for constructing attacks, building defenses, and benchmarking both
hwalsuklee/tensorflow-generative-model-collections
Collection of generative models in Tensorflow
utkuozbulak/unsupervised-learning-document-clustering
Document clustering and topic modelling with Python