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 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...
machine learning and deep learning tutorials, articles and other resources
High-efficiency floating-point neural network inference operators for mobile, server, and Web
🌸 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
All notes and materials for the CS229: Machine Learning course by Stanford University
Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.
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...
A flexible, adaptive classification system for dynamic text classification
Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-mean...
High-performance, optimized pre-trained template AI application pipelines for systems using Hailo devices
:speech_balloon: An English-Persian Dictionary of Computer Science and Artificial Intelligence
Jupyter Notebook notes on Andrej Karpathy's tutorial series, "Neural Networks: Zero to Hero."
It is a medical chatbot that will provide quick answers to FAQs by setting up rule-based keyword chatbots.
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
High-efficiency floating-point neural network inference operators for mobile, server, and Web
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
AI molecular design tool for de novo design, scaffold hopping, R-group replacement, linker design and molecule optimization.
(NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, and 2024)
List of papers related to neural network quantization in recent AI conferences and journals.
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
🧑🏫 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...
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
🌸 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
machine learning and deep learning tutorials, articles and other resources
All notes and materials for the CS229: Machine Learning course by Stanford University
High-efficiency floating-point neural network inference operators for mobile, server, and Web
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 comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and 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...
Free and open source pre-trained translation models, including Kurdish, Samoan, Xhosa, Lao, Corsican, Cebuano, Galician, Yiddish, Swahili, and Yoruba.
🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍
A flexible, adaptive classification system for dynamic text classification
The Hailo PCIe driver is required for interacting with a Hailo device over the PCIe interface
Essential Neural Network Resources for Beginners and Enthusiasts. Dive into Learning
本文是Michael Nielson所著的《Neural Networks and Deep Learning》的简体中文翻译版。
A template for doing regression from images with pytorch
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
Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
Compendium of free ML reading resources
Android Voice Activity Detection (VAD) library. Supports WebRTC VAD GMM, Silero VAD DNN, Yamnet VAD DNN models.
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-...
Machine Learning inference engine for Microcontrollers and Embedded devices
List of papers related to neural network quantization in recent AI conferences and journals.
Jupyter Notebook notes on Andrej Karpathy's tutorial series, "Neural Networks: Zero to Hero."
🧑🏫 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
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 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)
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...
Code Repository for Machine Learning with PyTorch and Scikit-Learn
machine learning and deep learning tutorials, articles and other resources
All notes and materials for the CS229: Machine Learning course by Stanford University
🌸 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
Lab Materials for MIT 6.S191: Introduction to Deep Learning
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...
Free and open source pre-trained translation models, including Kurdish, Samoan, Xhosa, Lao, Corsican, Cebuano, Galician, Yiddish, Swahili, and Yoruba.
A flexible, adaptive classification system for dynamic text classification
🐍 A Collection of Notes for Learning & Understanding Deep Learning / Machine Learning / Artificial Intelligence (AI) with TensorFlow 🐍
Elixir library for time series forecasting, inspired by Facebook's Prophet and NeuralProphet
Official PyTorch implementation of SelfRDB, a diffusion bridge model for multi-modal medical image synthesis
A template for doing regression from images with pytorch
A beginner's roadmap to self studying Machine Learning and Artificial Intelligence
The Hailo PCIe driver is required for interacting with a Hailo device over the PCIe interface
An open source light-weight and high performance inference framework for Hailo devices
Colab Notebooks covering deep learning tools for biomolecular structure prediction and design
This repository contain my 75Day Hard Generative AI and LLM Learning Challenge.
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
Contains Solutions to Deep Learning Specailization - Coursera
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.
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...
A flexible, adaptive classification system for dynamic text classification
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
About Interactive web viewer for exploring large neural networks—powers the graph visualization of Talaria
⚡Delightful WebNN resources, curated list of awesome things around WebNN ecosystem.😎
🧑🏫 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...
Code Repository for Machine Learning with PyTorch and Scikit-Learn
machine learning and deep learning tutorials, articles and other resources
A JavaScript library like PyTorch, with GPU acceleration.
🌸 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
A JavaScript library like PyTorch, with GPU acceleration.
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...
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
The nnsight package enables interpreting and manipulating the internals of deep learned models.
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
GUI application for Anime4K shaders which allows to save upscaled video to disk
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-...
An Adaptive Formation Control of Multiple UAVs dealing with External disturbances
[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...
DL4TO is a Python library for 3D topology optimization that is based on PyTorch and allows easy integration with neural networks.
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
Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)
Contains Solutions to Deep Learning Specailization - Coursera