Pinned Repositories
aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
building-commands-recognition-system-using-CMU-sphinx4
build commands recognition system using custom language model based on CMU sphinx4 system
card_settings
A flutter package for building card based forms.
course-v3
The 3rd edition of course.fast.ai
creating-enron-spam-corpus-from-raw-data
Using raw data of Enron spam datasets to create a corpus using python, nltk and shell script.
creating-text-corpus-from-wikipedia
Using Wikipedia enwiki dump (43 GB) to create a plain text corpus for NLP and Speech Recognition
d2l-zh-pytorch-slides
Pytorch版代码幻灯片
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
ranking
Learning to Rank in TensorFlow
speech-recognition-using-pocketsphinx
Using pocketsphinx, cmuclmtk and NLTK to build speech recognition system
shenzhun's Repositories
shenzhun/speech-recognition-using-pocketsphinx
Using pocketsphinx, cmuclmtk and NLTK to build speech recognition system
shenzhun/creating-enron-spam-corpus-from-raw-data
Using raw data of Enron spam datasets to create a corpus using python, nltk and shell script.
shenzhun/creating-text-corpus-from-wikipedia
Using Wikipedia enwiki dump (43 GB) to create a plain text corpus for NLP and Speech Recognition
shenzhun/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
shenzhun/building-commands-recognition-system-using-CMU-sphinx4
build commands recognition system using custom language model based on CMU sphinx4 system
shenzhun/card_settings
A flutter package for building card based forms.
shenzhun/course-v3
The 3rd edition of course.fast.ai
shenzhun/d2l-zh-pytorch-slides
Pytorch版代码幻灯片
shenzhun/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
shenzhun/ranking
Learning to Rank in TensorFlow
shenzhun/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
shenzhun/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
shenzhun/devnights
shenzhun/dlrm
An implementation of a deep learning recommendation model (DLRM)
shenzhun/fastai
The fastai deep learning library, plus lessons and tutorials
shenzhun/hardcoded.cc
website for hardcoded.cc
shenzhun/leetcode-api
Leetcode API written with TypeScript, fully support async.
shenzhun/LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
shenzhun/meetup
code and docs of meetups
shenzhun/playground
PlayGround: AI Research into Multi-Agent Learning.
shenzhun/pommerman-pytorch
shenzhun/Practical_RL
A course in reinforcement learning in the wild
shenzhun/predictionio
PredictionIO, a machine learning server for developers and ML engineers.
shenzhun/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
shenzhun/ReAgent
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
shenzhun/recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
shenzhun/rlpyt
Reinforcement Learning in PyTorch
shenzhun/starter-hugo-academic
shenzhun/swift
Swift for TensorFlow
shenzhun/tensorflow
An Open Source Machine Learning Framework for Everyone