Trending repositories for topic neural-networks
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...
A machine learning-based lossless video super resolution framework. Est. Hack the Valley II, 2018.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur...
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement lea...
GpuScript makes your Object-Oriented programs run at supercomputer speeds on a single GPU. Learn it in 30 minutes and you can write & debug large and complex GPU projects.
machine learning and deep learning tutorials, articles and other resources
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
All notes and materials for the CS229: Machine Learning course by Stanford University
GpuScript makes your Object-Oriented programs run at supercomputer speeds on a single GPU. Learn it in 30 minutes and you can write & debug large and complex GPU projects.
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College L...
This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel ...
[CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D...
Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for be...
An interactive HTML pretty-printer for machine learning research in IPython notebooks.
Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur...
List of papers related to neural network quantization in recent AI conferences and journals.
Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
A machine learning-based lossless video super resolution framework. Est. Hack the Valley II, 2018.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
GpuScript makes your Object-Oriented programs run at supercomputer speeds on a single GPU. Learn it in 30 minutes and you can write & debug large and complex GPU projects.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement lea...
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neur...
All notes and materials for the CS229: Machine Learning course by Stanford University
machine learning and deep learning tutorials, articles and other resources
GpuScript makes your Object-Oriented programs run at supercomputer speeds on a single GPU. Learn it in 30 minutes and you can write & debug large and complex GPU projects.
This repository hosts a stock market prediction model for Tesla and Apple using Liquid Neural Networks. It showcases data-driven forecasting techniques, feature engineering, and machine learning to en...
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices
An open source light-weight and high performance inference framework for Hailo devices
Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
Workflow for Simulation and Automatic Semantic Segmentation of Electron Microscopy Images
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
[CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D...
BabyGPT: Build Your Own GPT Large Language Model from Scratch Pre-Training Generative Transformer Models: Building GPT from Scratch with a Step-by-Step Guide to Generative AI in PyTorch and Python
This project contains additional material for the textbook Deep Learning for Physics Research by Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, and Uwe Klemradt.
TinySleepNet: An Efficient Deep Learning Model for Sleep Stage Scoring based on Raw Single-Channel EEG by Akara Supratak and Yike Guo from The Faculty of ICT, Mahidol University and Imperial College L...
This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel ...
GpuScript makes your Object-Oriented programs run at supercomputer speeds on a single GPU. Learn it in 30 minutes and you can write & debug large and complex GPU projects.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...
A machine learning-based lossless video super resolution framework. Est. Hack the Valley II, 2018.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Code Repository for Machine Learning with PyTorch and Scikit-Learn
GpuScript makes your Object-Oriented programs run at supercomputer speeds on a single GPU. Learn it in 30 minutes and you can write & debug large and complex GPU projects.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement lea...
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
machine learning and deep learning tutorials, articles and other resources
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
GpuScript makes your Object-Oriented programs run at supercomputer speeds on a single GPU. Learn it in 30 minutes and you can write & debug large and complex GPU projects.
ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and gr...
Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
⚡Delightful WebNN resources, curated list of awesome things around WebNN ecosystem.😎
An interactive HTML pretty-printer for machine learning research in IPython notebooks.
This repository hosts a stock market prediction model for Tesla and Apple using Liquid Neural Networks. It showcases data-driven forecasting techniques, feature engineering, and machine learning to en...
High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
BabyGPT: Build Your Own GPT Large Language Model from Scratch Pre-Training Generative Transformer Models: Building GPT from Scratch with a Step-by-Step Guide to Generative AI in PyTorch and Python
This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.
Discrete choice modeling in Python with large datasets & models - Assortment & Pricing Optimization .
In this group project carried out with @Anannyap7, the aim is to take a professional badminton match video as an input and predict the most probable space on the court where the shot will be hit by th...
An open source light-weight and high performance inference framework for Hailo devices
A JAX research toolkit for building, editing, and visualizing neural networks.
From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for be...
An interactive HTML pretty-printer for machine learning research in IPython notebooks.
[CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D...
Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling
GpuScript makes your Object-Oriented programs run at supercomputer speeds on a single GPU. Learn it in 30 minutes and you can write & debug large and complex GPU projects.
Implementation of "MORPHEUS-1" from Prophetic AI and "The world’s first multi-modal generative ultrasonic transformer designed to induce and stabilize lucid dreams. "
a LLM cookbook, for building your own from scratch, all the way from gathering data to training a model
Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.
ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and gr...
Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (https://arxiv.org/abs/2405.06419)
Elixir library for time series forecasting, inspired by Facebook's Prophet and NeuralProphet
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
A machine learning-based lossless video super resolution framework. Est. Hack the Valley II, 2018.
💫 Industrial-strength Natural Language Processing (NLP) in Python
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
A JAX research toolkit for building, editing, and visualizing neural networks.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement lea...
machine learning and deep learning tutorials, articles and other resources
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
Code Repository for Machine Learning with PyTorch and Scikit-Learn
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Minimal and clean examples of machine learning algorithms implementations
A JavaScript library like PyTorch, with GPU acceleration.
From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)
A JavaScript library like PyTorch, with GPU acceleration.
GpuScript makes your Object-Oriented programs run at supercomputer speeds on a single GPU. Learn it in 30 minutes and you can write & debug large and complex GPU projects.
[CVPR 2024✨Highlight] Official repository for HOLD, the first method that jointly reconstructs articulated hands and objects from monocular videos without assuming a pre-scanned object template and 3D...
Implementation of "MORPHEUS-1" from Prophetic AI and "The world’s first multi-modal generative ultrasonic transformer designed to induce and stabilize lucid dreams. "
GUI application for Anime4K shaders which allows to save upscaled video to disk
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
From scratch implementation of a vision language model in pure PyTorch
Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (https://arxiv.org/abs/2405.06419)
DL4TO is a Python library for 3D topology optimization that is based on PyTorch and allows easy integration with neural networks.
Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling
This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
Automated Categorization: Utilizing the power of neural networks, this project offers an automated solution to categorize bank descriptions, reducing manual effort and enhancing efficiency while maint...
A collection of Nerual Network Models for chemistry
Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)
Compendium of free ML reading resources
Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX