zxp567's repositories
shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
backtesting.py
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
cartpole
OpenAI's cartpole env solver.
CartPole-v0
OpenAI gym CartPole using Keras
Contrastive-Predictive-Coding-PyTorch
Contrastive Predictive Coding for Automatic Speaker Verification
deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
entity_embeddings_categorical
Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)
fm_tensorflow
Factorization Machines implementation with Tensorflow
google_keyword_detection_challenge
https://www.kaggle.com/c/tensorflow-speech-recognition-challenge/
gpt3-sandbox
The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.
homework_fall2022
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2022)
keras-rl
Deep Reinforcement Learning for Keras.
nlp-in-python-tutorial
comparing stand up comedians using natural language processing
pytorch-fm
Factorization Machine models in PyTorch
shap
A game theoretic approach to explain the output of any machine learning model.
sklearn-genetic
Genetic feature selection module for scikit-learn
streamlit-dataview
Streamlit viewer for GW data
tensor-house
A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain