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...
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
Contains Solutions to Deep Learning Specailization - Coursera
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)
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
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...
machine learning and deep learning tutorials, articles and other resources
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...
From scratch implementation of a vision language model in pure PyTorch
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Contains Solutions to Deep Learning Specailization - Coursera
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
From scratch implementation of a vision language model in pure PyTorch
GpuScript allows you to write C# programs that run at supercomputer speeds on a single GPU. Learn it in 30 minutes. Write & debug large and complex projects specifically designed to run on the GPU.
Deep reinforcement learning without experience replay, target networks, or batch updates.
A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.
A collection of Nerual Network Models for chemistry
Machine Learning inference engine for Microcontrollers and Embedded devices
Compendium of free ML reading resources
The nnsight package enables interpreting and manipulating the internals of deep learned models.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
Deep and online learning with spiking neural networks in Python
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
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...
Code Repository for Machine Learning with PyTorch and Scikit-Learn
A curated list of awesome Distributed Deep Learning resources.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga...
Contains Solutions to Deep Learning Specailization - Coursera
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
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)
machine learning and deep learning tutorials, articles and other resources
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...
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...
Code Repository for Machine Learning with PyTorch and Scikit-Learn
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
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.
Deep and online learning with spiking neural networks in Python
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Contains Solutions to Deep Learning Specailization - Coursera
Deep reinforcement learning without experience replay, target networks, or batch updates.
From scratch implementation of a vision language model in pure PyTorch
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...
Run Vision LLMs, TTS and STT APIs. Website and API for https://text-generator.io
GpuScript allows you to write C# programs that run at supercomputer speeds on a single GPU. Learn it in 30 minutes. Write & debug large and complex projects specifically designed to run on the GPU.
A collection of Nerual Network Models for chemistry
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 ...
An Adaptive Formation Control of Multiple UAVs dealing with External disturbances
Official PyTorch implementation of the WACV 2025 paper "Composed Image Retrieval for Training-FREE DOMain Conversion".
GUI application for Anime4K shaders which allows to save upscaled video to disk
Forward Pass Learning and Inference Library, for neural networks and general intelligence, Signal Propagation (sigprop)
Synthesis of individualized HRTFs based on Neural Networks, Principal Component Analysis and anthropometry
Multiple disease prediction such as Diabetes, Heart disease, Kidney disease, Breast cancer, Liver disease, Malaria, and Pneumonia using supervised machine learning and deep learning algorithms.
🧑🏫 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 video super resolution and frame interpolation 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
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Deep reinforcement learning without experience replay, target networks, or batch updates.
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...
Contains Solutions to Deep Learning Specailization - Coursera
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
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...
All notes and materials for the CS229: Machine Learning course by Stanford University
Deep reinforcement learning without experience replay, target networks, or batch updates.
Contains Solutions to Deep Learning Specailization - Coursera
A V module to use multi-layer neural networks. Includes backpropagation but you can train them the way you want. If you have any questions or suggestions I'd be happy to read them !
GpuScript allows you to write C# programs that run at supercomputer speeds on a single GPU. Learn it in 30 minutes. Write & debug large and complex projects specifically designed to run on the GPU.
An Adaptive Formation Control of Multiple UAVs dealing with External disturbances
[AAMAS 2024] Code for the paper "MaDi: Learning to Mask Distractions for Generalization in Visual Deep RL"
Run Vision LLMs, TTS and STT APIs. Website and API for https://text-generator.io
A collection of Nerual Network Models for chemistry
High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices
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...
Acoustic impulse response generation using diffusion models
Estimates airborne drone global position by matching video to map retrieved from onboard GIS server.
This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.
GUI application for Anime4K shaders which allows to save upscaled video to disk
An open source light-weight and high performance inference framework for Hailo devices
Virtual Voice Assistant is a project that utilizes machine learning and natural language processing to enable users to control their devices using voice commands. Technologies used include TensorFlow,...
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.
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Deep reinforcement learning without experience replay, target networks, or batch updates.
GpuScript allows you to write C# programs that run at supercomputer speeds on a single GPU. Learn it in 30 minutes. Write & debug large and complex projects specifically designed to run on the GPU.
Integrating Mamba/SSMs with Transformer for Enhanced Long Context and High-Quality Sequence Modeling
Implementation of "MORPHEUS-1" from Prophetic AI and "The world’s first multi-modal generative ultrasonic transformer designed to induce and stabilize lucid dreams. "
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)
Official implementation of I2I-Mamba, an image-to-image translation model based on selective state spaces
🧑🏫 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 video super resolution and frame interpolation 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
Code Repository for Machine Learning with PyTorch and Scikit-Learn
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
A JavaScript library like PyTorch, with GPU acceleration.
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
From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)
GpuScript allows you to write C# programs that run at supercomputer speeds on a single GPU. Learn it in 30 minutes. Write & debug large and complex projects specifically designed to run on the GPU.
A JavaScript library like PyTorch, with GPU acceleration.
The nnsight package enables interpreting and manipulating the internals of deep learned models.
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
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)
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
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
[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...
Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)
A collection of Nerual Network Models for chemistry