lorenzoinvernizzi92 Goto Github PK

data-science-on-gcp

Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017

deeprl

Modularized Implementation of Deep RL Algorithms in PyTorch

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.

homework

Assignments for CS294-112.

modern-nlp-in-python

nlp-in-practice

Full working examples in Python with accompanying dataset for Text Mining & NLP. Includes: Gensim Word2Vec, phrase embeddings, keyword extraction with TFIDF, word count with pyspark, simple text preprocessing, accessing pre-trained embeddings and more.

pdpbox

python partial dependence plot toolbox

practical_rl

A course in reinforcement learning in the wild

qpsolvers

Quadratic Programming solvers in Python with a unified API

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

tf_ner

Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

tutmom

Tutorial on "Modern Optimization Methods in Python"