Pinned Repositories
d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
flutter-complete-guide-course-resources
Course resources (code snapshots & slides) for our complete Flutter & Dart course (https://acad.link/flutter).
Gradient-Boosting-Tree-algorithm-gaussian
Implementing Gradient Boosting Tree algorithm for log-gaussian distribution's expected value of insurance claim amounts open-source data, beating linear and tree models
JuliuszB12
LSTM_Attention_redeployment_for_yahoo_stock_data
Integrating Airbyte, Kafka, Airflow and MLflow on Azure Linux VMs within private network to periodically retrain LSTM Attention model with 1-minute stock prices and redeploy it on Azure ML AKS real-time inference endpoint behind serverless Azure API
Optimal-sequential-stock-trading-strategy-with-DDPG
Implementation of a deep reinforcement learning algorithm to determine the optimal strategy for trading in stock exchanges on the example of companies included in the S&P500 index
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
phidata
Build AI Assistants with memory, knowledge and tools.
public-apis
A collective list of free APIs
spark
Apache Spark - A unified analytics engine for large-scale data processing
JuliuszB12's Repositories
JuliuszB12/AI102Files
JuliuszB12/annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
JuliuszB12/Flask-Web-App-Tutorial
Code for the note storing flask web app made during a YouTube video.
JuliuszB12/pyspark-examples
Pyspark RDD, DataFrame and Dataset Examples in Python language
JuliuszB12/SRD_Z202122
Repozytorium materiałów do zajęć z przedmiotu Statystyczne Reguły Decyzyjne semestr zimowy 2021/2022
JuliuszB12/terraform-beginner-to-advanced-resource
JuliuszB12/Modern-Portfolio-Theory-and-LSTMs
A project using deep learning to forecast stock prices and covariance. Uses multiple threads to gather data and optimize portfolio using numerous APIs.
JuliuszB12/nlp-recipes
Natural Language Processing Best Practices & Examples
JuliuszB12/springboot_restapi_hibernate
Spring Boot Rest API using Spring Boot, Hibernate and Mockito