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Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
probability
optimization
deep-learning
explainable-ai
computer-vision
medical-imaging
machine-learning
speech-recognition
visual-recognition
bayesian-statistics
pattern-recognition
deep-neural-networks
graph-neural-networks
reinforcement-learning
geometric-deep-learning
artificial-neural-networks
deep-reinforcement-learning
natural-language-processing
probabilistic-graphical-models
artificial-intelligence-algorithms
Created
2018-11-26
153 commits to master branch, last one 2 years ago
A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!
Created
2022-07-03
1,229 commits to main branch, last one 3 months ago
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
Created
2018-03-19
385 commits to master branch, last one 3 months ago
(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Desig...
Created
2014-09-19
582 commits to master branch, last one 6 years ago
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Created
2017-04-26
109 commits to master branch, last one 4 years ago
simple neural network library in ANSI C
Created
2016-02-09
56 commits to master branch, last one 3 years ago
Use unsupervised and supervised learning to predict stocks
Created
2018-10-07
41 commits to master branch, last one 4 years ago
Top 200 deep learning Github repositories sorted by the number of stars.
Created
2018-03-16
29 commits to master branch, last one 4 years ago
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
icarl
replay
distillation
deep-learning
generative-models
lifelong-learning
continual-learning
incremental-learning
replay-through-feedback
variational-autoencoder
gradient-episodic-memory
task-incremental-learning
artificial-neural-networks
class-incremental-learning
domain-incremental-learning
elastic-weight-consolidation
Created
2018-09-26
41 commits to master branch, last one 2 months ago
A 2D Unity simulation in which cars learn to navigate themselves through different courses. The cars are steered by a feedforward neural network. The weights of the network are trained using a modifie...
Created
2017-04-09
15 commits to master branch, last one 6 years ago
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
hpo
knn
svm
hyperband
grid-search
optimization
deep-learning
random-forest
random-search
python-samples
python-examples
machine-learning
genetic-algorithm
tuning-parameters
bayesian-optimization
hyperparameter-tuning
artificial-neural-networks
hyperparameter-optimization
machine-learning-algorithms
particle-swarm-optimization
Created
2020-07-23
40 commits to master branch, last one about a year ago
A curated list of awesome awesomeness about artificial intelligence
Created
2019-01-03
166 commits to master branch, last one 2 years ago
Curso de Introducción a Machine Learning con Python
Created
2018-03-20
65 commits to master branch, last one 3 years ago
NeuPy is a Tensorflow based python library for prototyping and building neural networks
Created
2015-08-24
1,146 commits to master branch, last one about a year ago
Re-implementation of TensorFlow in pure python, with an emphasis on code understandability
Created
2017-08-24
4 commits to master branch, last one 6 years ago
Fast Deep Learning Library (DLL) for C++ (ANNs, CNNs, RBMs, DBNs...)
Created
2014-01-07
3,692 commits to master branch, last one 3 months ago
🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
ai
data
research
data-science
deep-learning
hacktoberfest
machinelearning
machine-learning
hacktoberfest2020
supervised-learning
deep-neural-networks
data-science-learning
data-science-projects
unsupervised-learning
reinforcement-learning
artificial-intelligence
artificial-neural-networks
machine-learning-algorithms
Created
2020-07-14
127 commits to master branch, last one 2 years ago
🤖 A portable, header-only, artificial neural network library written in C99
Created
2016-12-25
49 commits to master branch, last one 7 years ago
Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database
Created
2017-05-22
61 commits to master branch, last one 5 years ago
Evaluate three types of task shifting with popular continual learning algorithms.
Created
2018-11-30
17 commits to master branch, last one 3 years ago
Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.
jax
llms
gpt-3
gpt-4
python
gpt4all
pytorch
scikit-learn
aws-sagemaker
deep-learning
generative-ai
machinelearning
image-processing
image-classification
machinelearning-python
machine-learning-models
support-vector-machines
machine-learning-library
artificial-neural-networks
scikitlearn-machine-learning
Created
2020-10-17
64 commits to main branch, last one 4 months ago
C++ openframeworks addon and examples integrating Google's TensorFlow numerical computation and machine learning library
Created
2016-01-28
138 commits to master branch, last one 2 years ago
This is an open sourced book on deep learning.
Created
2019-09-11
35 commits to master branch, last one 4 years ago
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.
Created
2017-04-06
705 commits to dev branch, last one 21 hours ago
Courses, Articles and many more which can help beginners or professionals.
Created
2019-08-12
85 commits to master branch, last one 2 years ago
🕵️♂️ Library designed for developers eager to explore the potential of Large Language Models (LLMs) and other generative AI through a clean, effective, and Go-idiomatic approach.
Created
2023-11-13
75 commits to main branch, last one about a month ago
NiuTensor is an open-source toolkit developed by a joint team from NLP Lab. at Northeastern University and the NiuTrans Team. It provides tensor utilities to create and train neural networks.
Created
2018-05-14
36 commits to master branch, last one 2 years ago
Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası
Created
2018-08-03
578 commits to master branch, last one 2 years ago
An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification
This repository has been archived
(exclude archived)
Created
2017-12-06
115 commits to master branch, last one 3 years ago
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:
python
big-data
regression
100daysofcode
deep-learning
hacktoberfest
classification
github-actions
linear-algebra
100daysofmlcode
neural-networks
machine-learning
linear-regression
regression-models
clustering-algorithm
polynomial-regression
artificial-intelligence
classification-algorithm
artificial-neural-networks
scikitlearn-machine-learning
Created
2020-01-11
452 commits to master branch, last one 8 days ago