Pinned Repositories
BerkeleyXCS105x_Intro2ApacheSpark
DeepLearning
related projects and practices related to deep learning (CNN/RNN etc)
Intro2MachineLearning_CS475
LeetCodePython
NLP-PyTorch
NLP exercises with PyTorch.
Parking-Prediction
pytorch-vqa
Strong baseline for visual question answering
recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
urban-data-science
Course materials, IPython notebooks, tutorials, and guides for the urban data science course
shuowenwei's Repositories
shuowenwei/LeetCodePython
shuowenwei/recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
shuowenwei/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
shuowenwei/backbloggie
Flask
shuowenwei/Books
shuowenwei/credstash
A little utility for managing credentials in the cloud
shuowenwei/dfencoder
shuowenwei/dotfiles
:wrench: .files, including ~/.macos — sensible hacker defaults for macOS
shuowenwei/dotfiles-1
a-wing's config files
shuowenwei/emrZeroToHero
Repo which holds the materials for the EMR Zero To Hero
shuowenwei/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
shuowenwei/faiss
A library for efficient similarity search and clustering of dense vectors.
shuowenwei/fast-bert
Super easy library for BERT based NLP models
shuowenwei/fucking-algorithm
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
shuowenwei/Grokking-System-Design
Systems design is the process of defining the architecture, modules, interfaces, and data for a system to satisfy specified requirements. Systems design could be seen as the application of systems theory to product development.
shuowenwei/learning-notes
Notes on books I read, talks I watch, articles I study, and papers I love
shuowenwei/LeetCode-Solutions
🏋️ Python / Modern C++ Solutions of All 2183 LeetCode Problems (Weekly Update)
shuowenwei/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
shuowenwei/PIE
Fast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models for Local Sequence Transduction": www.aclweb.org/anthology/D19-1435.pdf (EMNLP-IJCNLP 2019)
shuowenwei/powernorm
[ICML 2020] code for "PowerNorm: Rethinking Batch Normalization in Transformers" https://arxiv.org/abs/2003.07845
shuowenwei/pyenv
Simple Python version management
shuowenwei/pyspark-glue-tutorial
shuowenwei/Pyspark-With-Python
shuowenwei/PyTorch-for-Deep-Learning-and-Computer-Vision-Course-All-Codes-
PyTorch for Deep Learning and Computer Vision Course
shuowenwei/reInvent2019_notes
shuowenwei/setup-py-upgrade
upgrade a setup.py to declarative metadata
shuowenwei/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
shuowenwei/swifter
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
shuowenwei/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
shuowenwei/text_similarity
Text Similarity