Pinned Repositories
AliNLP
annotated-transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
code_exercise
customer_growth
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
dlrr
DeepSearchRelevanceRanking-KDD2022-Tutorial
fairseq-py-mine
experiments on fairseq
seabay's Repositories
seabay/fairseq-py-mine
experiments on fairseq
seabay/AliNLP
seabay/annotated-transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
seabay/awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
seabay/code_exercise
seabay/customer_growth
seabay/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
seabay/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
seabay/DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
seabay/dlrr
DeepSearchRelevanceRanking-KDD2022-Tutorial
seabay/eat_tensorflow2_in_30_days
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
seabay/fastai
The fastai deep learning library, plus lessons and tutorials
seabay/fastbook
Draft of the fastai book
seabay/fucking-algorithm
手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.
seabay/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
seabay/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
seabay/house_sigma
Housing rental price
seabay/ml-papers
seabay/ml_practice
learn by doing
seabay/nn4nlp2017-code
Code Samples from Neural Networks for NLP
seabay/pandas-cookbook
Recipes for using Python's pandas library
seabay/practical-pytorch
PyTorch tutorials demonstrating modern techniques with readable code
seabay/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
seabay/PyMOTW-3
seabay/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
seabay/quick_sentence_transformers
seabay/reco_backup
seabay/sentence-similarity
seabay/UnbalancedDataset
Python module to perform under sampling and over sampling with various techniques.
seabay/WeblogChallenge
This is an interview challenge for Paytm Labs. Please feel free to fork. Pull Requests will be ignored.