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 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.
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...
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Code Repository for Machine Learning with PyTorch and Scikit-Learn
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2025 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art t...
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.
From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)
All notes and materials for the CS229: Machine Learning course by Stanford University
Elixir library for time series forecasting, inspired by Facebook's Prophet and NeuralProphet
Jupyter Notebook notes on Andrej Karpathy's videos and the tutorial series, "Neural Networks: Zero to Hero."
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
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...
Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
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.
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
The code for the bark-voicecloning model. Training and inference.
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)
Deep and online learning with spiking neural networks in Python
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
🧑🏫 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)
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.
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...
Lab Materials for MIT 6.S191: Introduction to Deep Learning
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 Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Code Repository for Machine Learning with PyTorch and Scikit-Learn
All notes and materials for the CS229: Machine Learning course by Stanford University
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
machine learning and deep learning tutorials, articles and other resources
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
A PyTorch Library for Accelerating 3D Deep Learning Research
Building a GPT-like LLM from scratch with PyTorch.
A flexible, adaptive classification system for dynamic text classification
A curated list of awesome neuromorphic frameworks, libraries, resources, and other things
Jupyter Notebook notes on Andrej Karpathy's videos and the tutorial series, "Neural Networks: Zero to Hero."
A deep learning library for use in high-performance computing applications in modern Fortran
MITx 6.86x | Machine Learning with Python | From Linear Models to Deep Learning
Constrained deep learning is an advanced approach to training deep neural networks by incorporating domain-specific constraints into the learning process.
An open source light-weight and high performance inference framework for Hailo devices
Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end
GUI application for Anime4K shaders which allows to save upscaled video to disk
Improved sampling via learned diffusions (ICLR2024) and an optimal control perspective on diffusion-based generative modeling (TMLR2024)
UNet based model that segment retina to 8 layers in OCT images
🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural network models (and their initializations) to make them easier to tr...
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...
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
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)
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...
Lab Materials for MIT 6.S191: Introduction to Deep Learning
machine learning and deep learning tutorials, articles and other resources
Code Repository for Machine Learning with PyTorch and Scikit-Learn
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2025 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art t...
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
All notes and materials for the CS229: Machine Learning course by Stanford University
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A flexible, adaptive classification system for dynamic text classification
Building a GPT-like LLM from scratch with PyTorch.
Free and open source pre-trained translation models, including Kurdish, Samoan, Xhosa, Lao, Corsican, Cebuano, Galician, Yiddish, Swahili, Russian, Belarusian and Yoruba.
Code and Content for Manning Publication on Graph Neural Networks
Research project: create a chess engine using Deep Reinforcement Learning
Official PyTorch implementation of SelfRDB, a diffusion bridge model for multi-modal medical image synthesis
Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza
GUI application for Anime4K shaders which allows to save upscaled video to disk
An Adaptive Formation Control of Multiple UAVs dealing with External disturbances
🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍
SageMaker implementation of liquid neural networks (LNNs) for time series forecasting.
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
A JAX research toolkit for building, editing, and visualizing neural networks.
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.
A flexible, adaptive classification system for dynamic text classification
Building a GPT-like LLM from scratch with PyTorch.
Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.
Elixir library for time series forecasting, inspired by Facebook's Prophet and NeuralProphet
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...
Official implementation of I2I-Mamba, an image-to-image translation model based on selective state spaces
Lyapunov-stable Neural Control for State and Output Feedback
⚡Delightful WebNN resources, curated list of awesome things around WebNN ecosystem.😎
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...
🧑🏫 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
💫 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
A JavaScript library like PyTorch, with GPU acceleration.
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
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
A JavaScript library like PyTorch, with GPU acceleration.
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.
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)
The nnsight package enables interpreting and manipulating the internals of deep learned models.
GUI application for Anime4K shaders which allows to save upscaled video to disk
DL4TO is a Python library for 3D topology optimization that is based on PyTorch and allows easy integration with neural networks.
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
[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...
A template for doing regression from images with pytorch
Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)
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
A complete overview and insights into AI-Text detection :seedling: using the powerful BERT(Bi-directional encoder representation transformer) to predict if a text is AI-generated :sunflower: or Human-...
Contains Solutions to Deep Learning Specailization - Coursera
An Adaptive Formation Control of Multiple UAVs dealing with External disturbances
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...