758 Open source projects that are alternatives of or similar to Sota Cv

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A curated list of awesome resources related to capsule networks

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Flexible classic and NeurAl Retrieval Toolkit

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

PyTorch 101 series covering everything from the basic building blocks all the way to building custom architectures.

PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

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Descriptive Deep Learning

Sarcasm detection on tweets using neural network

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Implementation of Quickdraw - an online game developed by Google

Models of COVID-19 outbreak trajectories and hospital demand

Disclaimer: This is not an official Google product.

Machine Learning inference engine for Microcontrollers and Embedded devices

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PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

SincNet is a neural architecture for efficiently processing raw audio samples.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Next RecSys Library

A Python Package for Monitoring Seismic Velocity Changes using Ambient Seismic Noise | http://www.msnoise.org

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

YACS -- Yet Another Configuration System

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DeepFaceLab is the leading software for creating deepfakes.

Computational Cognitive Neuroscience, Fourth Edition

Support content for my blog

Race and ethnicity Imputation from Disease history with Deep LEarning

Code and other material for the book "Deep Learning and the Game of Go"

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

Gibson Environments: Real-World Perception for Embodied Agents

⛑ Run [email protected] on Kubernetes

Python library to easily log experiments and parallelize hyperparameter search for neural networks

Machine Learning for High Energy Physics.

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🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

Concise deep learning for JAX

A Python library for creating and simulating large-scale brain models

Awesome list of software that I use to do research in medical imaging.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

RObust document image BINarization

A modular high-level library to train embodied AI agents across a variety of tasks, environments, and simulators.

A simple JavaScript neural network framework.

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

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

Koç University deep learning framework.

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Recsech is a tool for doing Footprinting and Reconnaissance on the target web. Recsech collects information such as DNS Information, Sub Domains, HoneySpot Detected, Subdomain takeovers, Reconnaissance On Github and much more you can see in Features in tools .

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A robot who learns how to draw

📓 Open Standard for Particle-Mesh Data