neuro-symbolic-sudoku-solver⚙️ Solving sudoku using Deep Reinforcement learning in combination with powerful symbolic representations.
Stars: ✭ 60 (+57.89%)
ai-background-removeCut out objects and remove backgrounds from pictures with artificial intelligence
Stars: ✭ 70 (+84.21%)
prometheus-specCensorship-resistant trustless protocols for smart contract, generic & high-load computing & machine learning on top of Bitcoin
Stars: ✭ 24 (-36.84%)
Xtreme-VisionA High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.
Stars: ✭ 77 (+102.63%)
neuronunitA package for data-driven validation of neuron and ion channel models using SciUnit
Stars: ✭ 36 (-5.26%)
Dino-AIAn AI to teach Google Chrome's dinosaur to jump obstacles.
Stars: ✭ 15 (-60.53%)
THINGSvisionPython package for extracting and analyzing image representations from state-of-the-art neural networks for computer vision
Stars: ✭ 106 (+178.95%)
active-inferenceA toy model of Friston's active inference in Tensorflow
Stars: ✭ 36 (-5.26%)
all-classifiers-2019A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
Stars: ✭ 24 (-36.84%)
EchotorchA 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.
Stars: ✭ 231 (+507.89%)
ai-backpropagationThe backpropagation algorithm explained and demonstrated.
Stars: ✭ 20 (-47.37%)
Free Ai Resources🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
Stars: ✭ 192 (+405.26%)
Voice2MeshCVPR 2022: Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?
Stars: ✭ 67 (+76.32%)
Data Science Resources👨🏽🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋
Stars: ✭ 171 (+350%)
learning-to-learnCode for "Learning Inductive Biases with Simple Neural Networks" (Feinman & Lake, 2018).
Stars: ✭ 20 (-47.37%)
Perfect TensorflowTensorFlow C API Class Wrapper in Server Side Swift.
Stars: ✭ 166 (+336.84%)
awesome-AI-kubernetes❄️ 🐳 Awesome tools and libs for AI, Deep Learning, Machine Learning, Computer Vision, Data Science, Data Analytics and Cognitive Computing that are baked in the oven to be Native on Kubernetes and Docker with Python, R, Scala, Java, C#, Go, Julia, C++ etc
Stars: ✭ 95 (+150%)
MarianaThe Cutest Deep Learning Framework which is also a wonderful Declarative Language
Stars: ✭ 151 (+297.37%)
MV-TractusA simple tool to extract motion vectors from h264 encoded videos.
Stars: ✭ 83 (+118.42%)
Awesome Quantum Machine LearningHere you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Stars: ✭ 1,940 (+5005.26%)
NeuroEvolution-Flappy-BirdA comparison between humans, neuroevolution and multilayer perceptrons playing Flapy Bird implemented in Python
Stars: ✭ 17 (-55.26%)
LightnnThe light deep learning framework for study and for fun. Join us!
Stars: ✭ 112 (+194.74%)
Top Deep Learning Top 200 deep learning Github repositories sorted by the number of stars.
Stars: ✭ 1,365 (+3492.11%)
PyAnomalyUseful Toolbox for Anomaly Detection
Stars: ✭ 95 (+150%)
SigmaRocket powered machine learning. Create, compare, adapt, improve - artificial intelligence at the speed of thought.
Stars: ✭ 98 (+157.89%)
Shapley regressionsStatistical inference on machine learning or general non-parametric models
Stars: ✭ 37 (-2.63%)
Deep Learning DrizzleDrench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Stars: ✭ 9,717 (+25471.05%)
KitcheNetteKitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks
Stars: ✭ 52 (+36.84%)
Machine Learning Without Any LibrariesThis is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms
Stars: ✭ 77 (+102.63%)
unpackaiThe Unpack.AI library
Stars: ✭ 20 (-47.37%)
AialphaUse unsupervised and supervised learning to predict stocks
Stars: ✭ 1,191 (+3034.21%)
AI-roadmapA beginner's roadmap to getting started in Machine Learning, by COPS IIT(BHU).
Stars: ✭ 74 (+94.74%)
Applying eannsA 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 modified genetic algorithm.
Stars: ✭ 1,093 (+2776.32%)
multi-area-modelA large-scale spiking model of the vision-related areas of macaque cortex.
Stars: ✭ 53 (+39.47%)
BrihaspatiCollection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥
Stars: ✭ 53 (+39.47%)
aurynAuryn: A fast simulator for spiking neural networks with synaptic plasticity
Stars: ✭ 77 (+102.63%)
YannlYet another neural network library
Stars: ✭ 37 (-2.63%)
BNN-ANN-papersPapers : Biological and Artificial Neural Networks
Stars: ✭ 60 (+57.89%)
ETACA one-page, Visual Canvas for Emerging Technology Evaluation, in the style of “the Business model Canvas".
Stars: ✭ 85 (+123.68%)
Gaze EstimationA deep learning based gaze estimation framework implemented with PyTorch
Stars: ✭ 33 (-13.16%)
rl tradingNo description or website provided.
Stars: ✭ 14 (-63.16%)
artificial neural networksA collection of Methods and Models for various architectures of Artificial Neural Networks
Stars: ✭ 40 (+5.26%)
modelhubA collection of deep learning models with a unified API.
Stars: ✭ 59 (+55.26%)
PsyNeuLinkA block modeling system for cognitive neuroscience
Stars: ✭ 73 (+92.11%)
NeupyNeuPy is a Tensorflow based python library for prototyping and building neural networks
Stars: ✭ 670 (+1663.16%)
catlearnFormal Psychological Models of Categorization and Learning
Stars: ✭ 21 (-44.74%)
Deeplearning.aideeplearning.ai , By Andrew Ng, All video link
Stars: ✭ 625 (+1544.74%)
prolog puzzlesProlog puzzles for fun and profit (mostly fun)
Stars: ✭ 39 (+2.63%)
EmbeddedMLEmbeddedML was created to be an alternative to the limited options available for Artificial Neural Networks in C. It is designed to be efficient without sacrificing ease of use. It is meant to support students as well as industry experts as it is built to be expandable and straightforward to manipulate.
Stars: ✭ 24 (-36.84%)
dlaicourse-TensorflowRepository containing Jupyter Notebooks for the TensorFlow in Practice specialization in Coursera
Stars: ✭ 12 (-68.42%)
BrainModelsBrain models implementation with BrainPy
Stars: ✭ 36 (-5.26%)
neat-pythonPython implementation of the NEAT neuroevolution algorithm
Stars: ✭ 32 (-15.79%)