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...
Code Repository for Machine Learning with PyTorch and Scikit-Learn
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)
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.
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
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...
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
Lab Materials for MIT 6.S191: Introduction to Deep Learning
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
A curated list of awesome awesomeness about artificial intelligence
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.
GUI application for Anime4K shaders which allows to save upscaled video to disk
Implementation of medical image segmentation and deep learning framework with CNN and U-net
Contains Solutions to Deep Learning Specailization - Coursera
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...
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
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
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
Deep and online learning with spiking neural networks in Python
All notes and materials for the CS229: Machine Learning course by Stanford University
(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using 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...
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
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)
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
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...
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
Lab Materials for MIT 6.S191: Introduction to Deep Learning
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
A curated list of awesome awesomeness about artificial intelligence
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.
GUI application for Anime4K shaders which allows to save upscaled video to disk
Implementation of medical image segmentation and deep learning framework with CNN and U-net
Contains Solutions to Deep Learning Specailization - Coursera
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...
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
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
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]
Deep and online learning with spiking neural networks in Python
All notes and materials for the CS229: Machine Learning course by Stanford University
(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
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
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.
Code Repository for Machine Learning with PyTorch and Scikit-Learn
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
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
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...
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.
Lagrangian formulation of Doob's h-transform allowing for efficient rare event sampling
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...
Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.
🔴VERY LARGE AI TOOL LIST! 🔴 extensive collection of tools and resources covering a broad range of applications in the world of artificial intelligence (AI) and machine learning (ML). This list encom...
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...
DL4TO is a Python library for 3D topology optimization that is based on PyTorch and allows easy integration with neural networks.
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...
Implementation of medical image segmentation and deep learning framework with CNN and U-net
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
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
High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices
Discrete choice modeling in Python with large datasets & models - Assortment & Pricing Optimization .
A collection of Nerual Network Models for chemistry
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
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.
Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (https://arxiv.org/abs/2405.06419)
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...
Elixir library for time series forecasting, inspired by Facebook's Prophet and NeuralProphet
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 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
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
Code Repository for Machine Learning with PyTorch and Scikit-Learn
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.
[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
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.
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.
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...
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
"Computational Methods for Economists using Python", by Richard W. Evans. Tutorials and executable code in Python for the most commonly used computational methods in economics.
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
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
