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acm-cheat-sheet

Acm Cheat Sheet

airflow-autoscaling-ecs

Airflow Deployment on AWS ECS Fargate Using Cloudformation

algorithmic-trading

algorithmic-trading-with-python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

alpaca-backtrader-api

Alpaca Trading API integrated with backtrader

awesome-diffusion-models

A collection of resources and papers on Diffusion Models

backtrader

Python Backtesting library for trading strategies

bt-ccxt-store

Fork of Ed Bartosh's CCXT Store Work

camodocal

CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry

ccxt

A JavaScript / Python / PHP cryptocurrency trading API with support for more than 120 bitcoin/altcoin exchanges

change-detection-in-remote-sensing-images

clip

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

deep-reinforcement-learning-papers

A list of recent papers regarding deep reinforcement learning

dsqx71.github.io

fcn_stereo

flow_stereo

flowstereo_predictor

fullstack-trading-app

A full stack Python app for trading using the Alpaca API

generative-models

Generative Models by Stability AI

joint_stereo_flow

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.

kdd-cup2017

kddcup2015

latent-diffusion

High-Resolution Image Synthesis with Latent Diffusion Models

lidar-cam-calibration

mastering.python.design.patterns

《精通Python设计模式》2015年1月

microservices-based-algorithmic-trading-system

MBATS is a docker based platform for developing, testing and deploying Algorthmic Trading strategies with a focus on Machine Learning based algorithms.

minpy

Pure numpy practice with third party operator Integration

ml_sampler

Model assisted random sampling.

mlfinlab

MlFinlab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.