#Deep-neural-networks
Showing 60 of 438 repositories tagged #deep-neural-networks, ranked by stars
An Open Source Machine Learning Framework for Everyone
Deepfakes Software For All
The most cited deep learning papers
Learn OpenCV : C++ and Python Examples
Open standard for machine learning interoperability
DeepFaceLab is the leading software for creating deepfakes.
machine learning and deep learning tutorials, articles and other resources
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
pix2code: Generating Code from a Graphical User Interface Screenshot
A paper list of object detection using deep learning.
Techniques for deep learning with satellite & aerial imagery
๐ฆ LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
WebGL-accelerated ML // linear algebra // automatic differentiation for JavaScript.
Caffe2 is a lightweight, modular, and scalable deep learning framework.
An open source library for deep learning end-to-end dialog systems and chatbots.
Synthesizing and manipulating 2048x1024 images with conditional GANs
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
A flexible, high-performance serving system for machine learning models
TensorFlow documentation
NanoDet-PlusโกSuper fast and lightweight anchor-free object detection model. ๐ฅOnly 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone๐ฅ
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
:alarm_clock: AI conference deadline countdowns
Gorgonia is a library that helps facilitate machine learning in Go.
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
computer vision and sports
Torchreid: Deep learning person re-identification in PyTorch.
An Engine-Agnostic Deep Learning Framework in Java
Fast inference engine for Transformer models
ใๅคง่ฏญ่จๆจกๅใไฝ่ ๏ผ่ตต้ซ๏ผๆๅๆฏ ๏ผๅจๆ๏ผๅๅคฉไธ๏ผๆ็ปง่ฃ
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
LPIPS metric. pip install lpips
Scalable and user friendly neural :brain: forecasting algorithms.
oneAPI Deep Neural Network Library (oneDNN)
This is Andrew NG Coursera Handwritten Notes.
ๆ กๆใ็งๆใๆฅๆใๅฎไน ๅฅฝ้กน็ฎ๏ผๅธฆไฝ ไป้ถๅฎ็ฐไธไธช้ซๆง่ฝ็ๆทฑๅบฆๅญฆไน ๆจ็ๅบ๏ผๆฏๆๅคงๆจกๅ llama2 ใUnetใYolov5ใResnet็ญๆจกๅ็ๆจ็ใImplement a high-performance deep learning inference library step by step
JAX-based neural network library
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
PyTorch implementation of Super SloMo by Jiang et al.
List of articles related to deep learning applied to music
Udacity Self-Driving Car Engineer Nanodegree projects.
List of papers, code and experiments using deep learning for time series forecasting
Learning Chinese Character style with conditional GAN
Deep neural network to extract intelligent information from invoice documents.
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, andย code
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L
List of awesome resources for machine learning-based algorithmic trading
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
Deep learning in Rust, with shape checked tensors and neural networks