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awesome-mlops

A curated list of references for MLOps

coin-for-rich

A standalone package to build a database of cryptocurrency prices from Bitfinex, Binance and Bittrex

crypto-rl

Deep Reinforcement Learning toolkit: record and replay limit order book data & train a DDQN agent

cs228_pgm

🌀 Stanford CS 228 - Probabilistic Graphical Models

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

data-science-competitions

Goal of this repo is to provide solutions of all Data Science Competitions.

deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

elephas

Distributed Deep learning with Keras & Spark

example-scripts

The official example scripts for the Numerai Data Science Tournament

glink

Code for research internship project

huysnote

kaggle_tse

Here stores my code and experiments for this Kaggle Twitter Sentiment Extraction competition:

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

literaturedl4graph

ml_framework

Simple ML framework

numerai

Back to Numer.ai competition

others

sample_kml

Sample kml

temporal_relational_stock_ranking

Code for paper "Temporal Relational Ranking for Stock Prediction"

tg-bot-service

Telegram Bot Microservice implemented with FastAPI and Telethon

vnstock

Vietnam Stock Market data extraction from TCBS & SSI with Python

webhook-client-streamlit

webhook-server

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors