7536 Open source projects that are alternatives of or similar to Deep Learning For Hackers

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

Deep learning codes and projects using Python

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

🟣 Object detection of abstract shapes with neural networks

Best Practices, code samples, and documentation for Computer Vision.

Lacmus is a cross-platform application that helps to find people who are lost in the forest using computer vision and neural networks.

Grokking Deep Reinforcement Learning

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

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Log Anomaly Detection - Machine learning to detect abnormal events logs

Support content for my blog

My personal notes, presentations, and notebooks on everything Deep Learning.

Anomaly detection for temporal data using LSTMs

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Daily Dose of Neural Network that Everyone Needs

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Datasets, tools and more from Darwinex Labs - Prop Investing Arm & Quant Team @ Darwinex

Probabilistic reasoning and statistical analysis in TensorFlow

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Deep Learning Computer Vision Algorithms for Real-World Use

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

Neural networks training pipeline based on PyTorch

AI for everyone! 🎉 Neural networks, tools and a library we use in Supervisely

Plain python implementations of basic machine learning algorithms

iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Awesome Artificial Intelligence Projects

PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

Multiple implementations for abstractive text summurization , using google colab

AFINN sentiment analysis in Python

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.

Contains my explorations of TensorFlow 2.x

An easy to use C# deep learning library with CUDA/OpenCL support

Keras tutorial for beginners (using TF backend)

Collection of useful data science topics along with code and articles

🎨 Pytorch YOLO v5 训练自己的数据集超详细教程！！！ 🎨 (提供PDF训练教程下载）

Repo for the Deep Reinforcement Learning Nanodegree program

Detectorch - detectron for PyTorch

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

Deep Learning Projects that Build Themselves

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Google Brain AutoML

A simple probabilistic programming language.

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Single Shot MultiBox Detector in TensorFlow

Learning to Learn in TensorFlow

🔥🔥AidLearning is a powerful mobile development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports OpenCL (GPU+NPU) for high performance acceleration...Linux on Android or HarmonyOS

💫 Industrial-strength Natural Language Processing (NLP) in Python

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai