christian-rncl

christian-rncl's Stars

• spark-examples/pyspark-examples

  Pyspark RDD, DataFrame and Dataset Examples in Python language

  Language:Python1.2k885

• antonio-catalano/StockAnalysisApp

  A stock analysis app with streamlit

  Language:Python6626

• antonio-catalano/RationalPassiveInvesting

  Asset allocation with stationary bootstrap approach

  Language:Python93

• ranaroussi/yfinance

  Download market data from Yahoo! Finance's API

  Language:Python14.5k2.4k

• LantaoYu/MARL-Papers

  Paper list of multi-agent reinforcement learning (MARL)

  4k728

• shane-miller/Fantasy-NHML

  A machine learning based fantasy hockey draft helper.

  Language:Jupyter Notebook155

• indy256/Full-stack-Developer-Interview-Questions-and-Answers

  :grey_question:Full-stack developer interview questions and answers

  2.6k683

• facebookresearch/StarSpace

  Learning embeddings for classification, retrieval and ranking.

  Language:C++3.9k531

• kojino/120-Data-Science-Interview-Questions

  Answers to 120 commonly asked data science interview questions.

  3.7k1.3k

• alexeygrigorev/data-science-interviews

  Data science interview questions and answers

  Language:HTML8.9k2k

• khanhnamle1994/cracking-the-data-science-interview

  A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

  Language:Jupyter Notebook3.7k1k

• alirezadir/Production-Level-Deep-Learning

  A guideline for building practical production-level deep learning systems to be deployed in real world applications.

  4.3k645

• Kismuz/btgym

  Scalable, event-driven, deep-learning-friendly backtesting library

  Language:Python985261

• bukosabino/ta

  Technical Analysis Library using Pandas and Numpy

  Language:Jupyter Notebook4.3k915

• ranaroussi/quantstats

  Portfolio analytics for quants, written in Python

  Language:Python4.9k851

• tensortrade-org/tensortrade

  An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

  Language:Python4.5k1k

• 2017-fall-DL-training-program/Setup_tutorial

  cuda/pytorch/openai/fake screen setup tutorial

  6217

• DLR-RM/rl-baselines3-zoo

  A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

  Language:Python2.1k515

• araffin/rl-baselines-zoo

  A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

  Language:Python1.1k208

• alexlee-gk/video_prediction

  Stochastic Adversarial Video Prediction

  Language:Python30365

• hill-a/stable-baselines

  A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

  Language:Python4.2k725

• AminHP/gym-anytrading

  The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

  Language:Python2.1k470

• openai/spinningup

  An educational resource to help anyone learn deep reinforcement learning.

  Language:Python10.1k2.2k

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python134k26.9k

• blaze/blaze

  NumPy and Pandas interface to Big Data

  Language:Python3.2k391

• puckel/docker-airflow

  Docker Apache Airflow

  Language:Shell3.8k542

• tuanavu/airflow-tutorial

  Apache Airflow tutorial

  Language:Jupyter Notebook9301k

• ipazc/mtcnn

  MTCNN face detection implementation for TensorFlow, as a PIP package.

  Language:Jupyter Notebook2.2k527

• sgrvinod/a-PyTorch-Tutorial-to-Image-Captioning

  Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

  Language:Python2.8k715

• looplab/tarjan

  Graph loop detection in Go using Tarjan's algorithm

  Language:Go6011