2002 Open source projects that are alternatives of or similar to L2c

🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

SuSi: Python package for unsupervised, supervised and semi-supervised self-organizing maps (SOM)

和（he for objective-c） —— “信息熵减机系统”

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Top 200 deep learning Github repositories sorted by the number of stars.

Complete-Life-Cycle-of-a-Data-Science-Project

Machine Learning Course @ Santa Clara University

This is an open sourced book on deep learning.

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

PHP-ML - Machine Learning library for PHP

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

A Compositional Object-Based Approach to Learning Physical Dynamics

deeplearning.ai , By Andrew Ng, All video link

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

TensorFlow C API Class Wrapper in Server Side Swift.

Implementation of Slot Attention from GoogleAI

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Machine Learning (EE 5184) in NTU

最全的中文版深度学习资源索引，包括论文，慕课，开源框架，数据集等等

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

A Knowledge Base for the FB Group Artificial Intelligence and Deep Learning (AIDL)

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

Code for Java Deep Learning Cookbook

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

TCyb 2018: Graph learning for multiview clustering

This is a tutorial for PyTorch Geometric on the YooChoose dataset

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

Code for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

Awesome Graph Self-Supervised Learning

Deep Metric Transfer for Label Propagation with Limited Annotated Data

TensorFlow implementation for "Guided Optical Flow Learning"

📖Learning reinforcement learning by implementing the algorithms from reinforcement learning an introduction

Vectorized Machine Learning in Python 🐍 From Scratch

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

DBSCAN Clustering Algorithm C# Implementation

Deep Learning using Rectified Linear Units (ReLU)

Heart Disease prediction using 5 algorithms

Pipeline of a keylogging attack using just an audio signal and unsupervised learning.

Programming Assignments and Lectures for Andrew Ng's "Machine Learning" Coursera course