6031 Open source projects that are alternatives of or similar to Python Roadmap

World Models Experiments

Sample iPython notebook with soccer predictions

Urban sound classification using Deep Learning

A repository with IPython notebooks of algorithms implemented in Python.

Face Image Motion Model (Photo-2-Video) based on "first-order-model" repository.

Dank Learning codebase, generate a meme from any image using AI. Uses a modified version of the Show and Tell image captioning network

COCO API - Dataset @ http://cocodataset.org/

A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

PyTorch로 시작하는 딥러닝 입문 CAMP (2017.7~2017.12) 강의자료

Develop Dash apps in the Jupyter Notebook and JupyterLab

Official Repository for 'Practical Natural Language Processing' by O'Reilly Media

Content for Udacity's AI in Trading NanoDegree.

Attention based model for learning to solve different routing problems

Source codes for the book "Reinforcement Learning: Theory and Python Implementation"

The fastai deep learning library

Automated feature engineering in Python with Featuretools

Reference models and tools for Cloud TPUs.

机器学习/深度学习/Python/Go语言面试题笔试题(Machine learning Deep Learning Python and Golang Interview Questions)

D2-Net: A Trainable CNN for Joint Description and Detection of Local Features

TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

A machine learning library for detecting anomalies in signals.

Public runnable examples of using John Snow Labs' NLP for Apache Spark.

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and sensitivity analysis.

PyTorch implementation of MAML: https://arxiv.org/abs/1703.03400

PyTorch implementation of GAN-based text-to-speech synthesis and voice conversion (VC)

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data

Efficient Learning of Augmentation Policy Schedules

PyTorch Tutorial (1.7)

This is the code for "How to Make a Text Summarizer - Intro to Deep Learning #10" by Siraj Raval on Youtube

food image to recipe with deep convolutional neural networks.

fastquant — Backtest and optimize your trading strategies with only 3 lines of code!

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Udacity Deep Learning MOOC assignments

Awesome List of resources on leading people and being a manager. Geared toward tech, but potentially useful to anyone.

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

Please use fastbook's /clean folder instead of this

Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.

Code and files of the deep learning model used to win the Nexar Traffic Light Recognition challenge

書籍「つくりながら学ぶ! PyTorchによる発展ディープラーニング」の実装コードを配置したリポジトリです

Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)

Attempting to replicate "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem" https://arxiv.org/abs/1706.10059 (and an openai gym environment)

Covidify - corona virus report and dataset generator for python 📈

Start Tensorboard in Jupyter Notebook

Learn python3 in one picture.

WebGL accelerated JavaScript molecular graphics library

Quiz & Assignment of Coursera

Swift for TensorFlow's high-level API, modeled after fastai

Predict Cryptocurrency Price with Deep Learning

Detects clickbait headlines using deep learning.

My solutions to Kevin Murphy Machine Learning Book

This is the implementation of paper <Additive Margin Softmax for Face Verification>

Tutorial on creating your own GAN in Tensorflow

Neural Turing Machines (NTM) - PyTorch Implementation