5921 Open source projects that are alternatives of or similar to Trading Gym

A beginner-friendly project to help you in open-source contributions. Made specifically for contributions in HACKTOBERFEST 2020! Hello World Programs and Algorithms! Please leave a star ⭐ to support this project! ✨

Run any standard Python code quality tool on a Jupyter Notebook

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes"

Implementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym

LargitData Course Material

Python/Keras implementation of integrated gradients presented in "Axiomatic Attribution for Deep Networks" for explaining any model defined in Keras framework.

just some code snippet

Python tutorials for introduction to machine learning

Deep learning codes and projects using Python

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

Python code for the fast bilateral solver

线性代数笔记

Repository for coursera specialization Applied Data Science with Python by University of Michigan

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

This is a tutorial for PyTorch Geometric on the YooChoose dataset

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

Auxiliary Classifier Generative Adversarial Networks in Keras

Code snippets from Kite blog posts

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Various Notebooks for Lernapparat.de

Project containig related material for my TensorFlow articles

Codes related to various ML Hackathons

A collection of tools to collect and download various data.

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

Scripts and code examples. Includes Spark notes, Jupyter notebook examples for Spark, Impala and Oracle.

NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

Materials for a short course on convex optimization.

Auto-ReID and Other Person Re-Identification Projects

python tutorial

Data, Benchmarks, and methods submitted to the M5 forecasting competition

Go binding for TensorFlow Lite

Code for a workshop on statistical interference using computational methods in Python.

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

Reference deployment of JupyterHub and nbgrader on a single server

Automatic image captioning model based on Caffe, using features from bottom-up attention.

基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）

A Repository of Notebooks for the Python Lecture Site

Visualizations based on best open science practices.

Veri Defteri Üzerine Kısa Notlar (www.veridefteri.com)

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

Intro to deep learning for medical imaging lesson, by MD.ai

Python for Finance Cookbook, published by Packt

Library extending Jupyter notebooks to integrate with Apache TinkerPop and RDF SPARQL.

Text detection model that combines Retinanet with textboxes++ for OCR

Example of "biological" learning for MNIST