fireyourneurons Goto Github PK

awesome-deep-learning-papers

The most cited deep learning papers

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

coding-interview-university

A complete computer science study plan to become a software engineer.

coltudemycourse

All the quizzes, exercises and projects from Colt Steele's Udemy Web Developer Bootcamp course

computervision

Computer Vision in Python

cs231

My solutions to Stanford's CS231n: Convolutional Neural Networks for Visual Recognition

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deeplearn

Implementation of research papers on Deep Learning+ NLP+ CV in Python using Keras, Tensorflow and Scikit Learn.

deeplearning.ai-assignments

fireyourneurons.github.io

flashtext

Extract Keywords from sentence or Replace keywords in sentences.

flexible-jekyll

Flexible-Jekyll is a simple and clean theme for Jekyll

kaggle

My Kaggle Kernels for Various Competitions

kagglesolutions

Kaggle Competition Past Solutions

keras-yolo2

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

minimal-mistakes

:triangular_ruler: Jekyll theme for personal sites, blogs, and portfolios. Two-columns and extremely flexible.

ml-from-scratch

Python implementations of Machine Learning models and algorithms from scratch. Aims to cover everything from Data Mining techniques to Deep Learning.

operator-precedence-parser

Python program for operator precedence parser. It analyzes the grammar given in "grammar.txt" and precedence of operators provided in "order.csv" and then validates the input string.

pythonprojects

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

royal

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

trackerslist

An updated list of public BitTorrent trackers