5984 Open source projects that are alternatives of or similar to Covidify

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

Data and analysis for 'Machine Bias'

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

Curso de Introducción a Machine Learning con Python

利用Python进行数据分析 第二版 (2017) 中文翻译笔记

Please use fastbook's /clean folder instead of this

stats of Chinese developers. 统计中国程序员的就业情况

Attention based model for learning to solve different routing problems

Notebook to download machine learning flashcards

Start Tensorboard in Jupyter Notebook

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

A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.

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

Code for the TCAV ML interpretability project

A repository with IPython notebooks of algorithms implemented in Python.

TensorFlow Basic Tutorial Labs

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

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

Neural Turing Machines (NTM) - PyTorch Implementation

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

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)

Pandas Cookbook, published by Packt

World Models Experiments

Use Tensorflow to run CNN for predict stock movement. Hope to find out which pattern will follow the price rising.

WebGL accelerated JavaScript molecular graphics library

Boxes.py - laser cutting boxes and more

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Text and supporting code for Modeling and Simulation in Python

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

Reference models and tools for Cloud TPUs.

Reinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..

Predict Cryptocurrency Price with Deep Learning

Jupyter widget to interactively view molecular structures and trajectories

Sample iPython notebook with soccer predictions

A collection of infrastructure and tools for research in neural network interpretability.

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

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

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

A one-stop repository for low-code easily-installable object detection pipelines.

Quiz & Assignment of Coursera

Tigramite is a time series analysis python module for causal discovery. The Tigramite documentation is at

PyTorch로 시작하는 딥러닝 입문 CAMP (2017.7~2017.12) 강의자료

Financial Sentiment Analysis with BERT

PyTorch Tutorial (1.7)

Second Version of The GoBot Botnet, But more advanced.

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.

Sequence prediction using recurrent neural networks(LSTM) with TensorFlow

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

Differentiable, Hardware Accelerated, Molecular Dynamics

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

Learning to trade under the reinforcement learning framework

food image to recipe with deep convolutional neural networks.

A machine learning library for detecting anomalies in signals.

Develop Dash apps in the Jupyter Notebook and JupyterLab

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

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

The fastai deep learning library

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