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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
154 commits to master branch, last one about a month 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 9 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 9 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 5 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 8 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 7 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 2 years 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
🚀 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 3 years 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 9 months 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
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 10 months ago
Courses, Articles and many more which can help beginners or professionals.
Created
2019-08-12
85 commits to master branch, last one 3 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 4 years 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
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 5 months 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 7 months ago
This is an open sourced book on deep learning.
Created
2019-09-11
35 commits to master branch, last one 4 years 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 3 years ago
Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası
Created
2018-08-03
578 commits to master branch, last one 3 years ago
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
neocortex
neuroimaging
neuromorphic
neuroscience
brain-imaging
neural-engine
neuron-models
neural-network
neural-networks
neural-processes
neural-rendering
neuronal-network
neural-simulators
neural-engineering
neuromorphic-hardware
neural-radiance-fields
neuromorphic-computing
neuromorphic-engineering
artificial-neural-networks
neural-machine-translation
Created
2021-10-03
25 commits to main branch, last one 10 months 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 4 years ago