6180 Open source projects that are alternatives of or similar to Monthly Challenges

Notebooks for reproducing the paper "Computer Vision with a Single (Robust) Classifier"

Insightface face detection and recognition model that just works out of the box.

This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

PRML algorithms implemented in Python

Repo for publishing code Samples and CLI samples for BatchAI service

wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

A doodle classifier(CNN), trained on all 345 categories from Quickdraw dataset.

All my experiments with AI and ML

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

Darwin Core

Interface for people to use my model which predicts which techniques one should use to solve a competitive programming problem to get an AC

Research on Texas Hold'em AI

Codes and experiments while learning and exploring deep learning for personal curiosity by doing online courses, personal projects and work.

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

ML

机器学习基本模型算法介绍(附加案例)

This library holds a collection of Notebooks and code examples for AWS AI Bootcamps.

CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.

Code, data, and instructions to map every star you can see from Earth

Tools for pen plotting in Python

A Cytoscape Jupyter widget

攻城狮之家B站视频课程课件合集2，1号仓库https://github.com/JokerJohn/bilibili_notes.git

Jupyter notebook and datasets from the pandas Q&A video series

Projecting images to latent space with StyleGAN2.

The toolbox for the Google Refexp dataset proposed in this paper: http://arxiv.org/abs/1511.02283

Reinforcement Learning research

Getting recommendations from natural language

Code for CS570, Essentials of Data Science

Official code release for "GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis"

CS224D Assignments

Repository with material for the Limperg Python course by Ties de Kok.

Reproducible Data Analysis Workflow in Jupyter

Reinforcement Learning examples implementation and explanation

Set of scripts and data for reproducing dog breed classification model training, analysis, and inference.

A collection of interactive lecture notes and assignments in Jupyter notebook format.

Машинное обучение на ФКН ВШЭ

Collection of jupyter notebooks

Material del curso de Deep Learning de la Universidad de Chile

A TensorFlow implementation of the Mnemonic Descent Method.

STREAM: Single-cell Trajectories Reconstruction, Exploration And Mapping of single-cell data

[ICCV 2019] Depth Hints are complementary depth suggestions which improve monocular depth estimation algorithms trained from stereo pairs

Tensorflow 2.0 Quick Start Guide, published by Packt

A End to End CNN Model which predicts the steering wheel angle based on the video/image

CFA (Colour Filter Array) Demosaicing Algorithms for Python

An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*, Shao-Hua Sun*, Hexiang Hu, and Joseph J. Lim

Repository for the One class neural networks paper

最新动态在这里【我的程序员日志】

Notebook demo V2Ray traffic classification by deep packet inspection

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Toda semana um novo material estará disponível para guiar no estudo de ciência de dados =)

Source Code for 'Python Projects for Beginners' by Connor Milliken

参考了西瓜书，sklearn源码，李航统计学，机器学习实战、机器学习中的数学

PyTorch Computer Vision Cookbook, Published by Packt

Easy generative modeling in PyTorch.