6597 Open source projects that are alternatives of or similar to Srflow

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)

Torch code for our CVPR 2018 paper "Residual Dense Network for Image Super-Resolution" (Spotlight)

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

Data Science Best Practices with pandas

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

A couple of simple GANs in Keras

The Most Powerful and Feature Rich Minecraft Server Software!

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

Enabling journalists, citizen scientists, humanitarian workers and others to detect “patterns of interest” in satellite imagery.

😺 Running Hashcat on Google Colab with session backup and restore.

Udacity Deep Learning MOOC assignments

This is the code for "A Guide to Building Your First Decentralized Application" by Siraj Raval on Youtube

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

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

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

Machine Learning

✨ The extension for Altair, matplotlib, and Plotly animations

Pangeo website + discussion of general issues related to the project.

Codes for Kaggle Competitions

Tutorial on creating your own GAN in Tensorflow

Solve captcha without manually labeling a training set

基于深度学习的开源中文关系抽取框架

Faster R-CNN for Open Images Dataset by Keras

Content for Udacity's AI in Trading NanoDegree.

Companion repository for the book Building Machine Learning Powered Applications

A Latex style and template for paper preprints (based on NIPS style)

IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)

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

Coursera/Stanford Machine Learning course assignments in python

Hands-On Reinforcement Learning with Python, published by Packt

tensorflow学习笔记，来源于电子书：《Tensorflow实战Google深度学习框架》

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

A self driving toy car using end-to-end learning

Course repo for Applied Natural Language Processing (Spring 2019)

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

Train a state-of-the-art yolov3 object detector from scratch!

The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.

Face Renderer to perform Domain (Face) Specific Data Augmentation

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

Data & Code for my video on the Pandas library of Python

Medical Q&A with Deep Language Models

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

Covidify - corona virus report and dataset generator for python 📈

Renderers and renderer extensions for JupyterLab

Machine learning for transportation data imputation and prediction.

How to do Bayesian statistical modelling using numpy and PyMC3

👩 Library for image processing

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

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

Learning to trade under the reinforcement learning framework

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

Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network

Boxes.py - laser cutting boxes and more