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Learn OpenCV : C++ and Python Examples
Ai For Beginners
12 Weeks, 24 Lessons, AI for All!
Dive Into Dl Pytorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Best Practices, code samples, and documentation for Computer Vision.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
An open source implementation of CLIP.
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image generation, image/video restoration/enhancement, etc.
Tensorflow 2.x Tutorials
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
[ICCV 2019] Monocular depth estimation from a single image
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
God Level Data Science Ml Full Stack
A collection of scientific methods, processes, algorithms, and systems to build stories & models. This roadmap contains 16 Chapters, whether you are a fresher in the field or an experienced professional who wants to transition into Data Science & AI
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
Covid Chestxray Dataset
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Practical Machine Learning With Python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Computer Vision In Action
学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-actio 👇项目主页
Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following cat
The Python Code Tutorials
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
computer vision projects | 计算机视觉相关好玩的AI项目（Python、C++）
This is the repo for our new project Highly Accurate Dichotomous Image Segmentation
Aws Machine Learning University Accelerated Cv
Machine Learning University: Accelerated Computer Vision Class
🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.
Awesome Pytorch List Cnversion
📚 Jupyter notebook tutorials for OpenVINO™
Face Mask Detection
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Open Machine Learning course
Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.
🏖 Keras Implementation of Painting outside the box
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
Stable Diffusion, SDXL, LoRA Training, DreamBooth Training, Automatic1111 Web UI, DeepFake, Deep Fakes, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, RunPod, NoteBooks, ControlNet, TTS, Voice Cloning, AI, AI News, ML, ML News, News, Tech, Tech News, Kohya LoRA, Kandinsky 2, DeepFloyd IF, Midjourney
Port of Single Shot MultiBox Detector to Keras
Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.
Fourier Feature Networks
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
Learning Deep Learning
Paper reading notes on Deep Learning and Machine Learning
Getting Things Done With Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
COVID-CT-Dataset: A CT Scan Dataset about COVID-19
Natural Language Youtube Search
Search inside YouTube videos using natural language
IJCAI2023 - Collaborative Neural Rendering using Anime Character Sheets
Quiz & Assignment of Coursera
Natural Language Image Search
Search photos on Unsplash using natural language
OpenMMLab course index and stuff
Exercise notebooks for CVND.
Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)
Keras version of Realtime Multi-Person Pose Estimation project
To gain access, please finish setting up this repository now at: https://repos.opensource.microsoft.com/microsoft/w
Open Metric Learning
Library for metric learning pipelines and models
A one-stop repository for low-code easily-installable object detection pipelines.
You Only Look at One Sequence (NeurIPS 2021)
Unsupervised Semantic Segmentation by Distilling Feature Correspondences
Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.
TernausNetV2: Fully Convolutional Network for Instance Segmentation
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
[NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Robot Surgery Segmentation
Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
Data extraction from documents with ML
🍳 Recipes for the Prodigy, our fully scriptable annotation tool
Official repository for the paper F, B, Alpha Matting
A library for ML benchmarking. It's powerful.
Modern Computer Vision With Pytorch
Modern Computer Vision with PyTorch, published by Packt
🧀 Code and models for the ICML 2023 paper "Grounding Language Models to Images for Multimodal Inputs and Outputs".
This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.
Blended Latent Diffusion
Official implementation for "Blended Latent Diffusion" [SIGGRAPH 2023]
Examples of Data Science projects and Artificial Intelligence use-cases
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Lightweight, useful implementation of conformal prediction on real data.
[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...
Hands On Computer Vision With Tensorflow 2
Hands-On Computer Vision with TensorFlow 2, published by Packt
A simple Drowsiness Detection module for humans. 😴 🚫 🚗
Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)
An unofficial implementation of paper 3D Gaussian Splatting for Real-Time Radiance Field Rendering by taichi lang.
Powerai Counting Cars
Run a Jupyter Notebook to detect, track, and count cars in a video using Maximo Visual Insights (formerly PowerAI Vision) and OpenCV
Deploy and scale serverless machine learning app - in 4 steps.
High-quality Neural Networks for Computer Vision 😎
[NeurIPS 2021] [T-PAMI] Global Filter Networks for Image Classification
TensorFlow JS models for MIRNet for low-light💡 image enhancement
Data Science Hacks
Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes
Python Examples for Remote Sensing
CLIPort: What and Where Pathways for Robotic Manipulation
Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
A machine learning based website that recommends the best crop to grow, fertilizers to use, and the diseases caught by your crops.
CVPR 2022 HFGI: High-Fidelity GAN Inversion for Image Attribute Editing
Best Data Science Resources
This repository contains the best Data Science free hand-picked resources to equip you with all the industry-driven skills and interview preparation kit.
✔（已完结）最全面的 OpenCV 笔记【咕泡唐宇迪】
Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
Deep Learning Specialization Coursera
This repo contains the updated version of all the assignments/labs (done by me) of Deep Learning Specialization on Coursera by Andrew Ng. It includes building various deep learning models from scratch and implementing them for object detection, facial recognition, autonomous driving, neural machine translation, trigger word detection, etc.
3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
Joint Deep Matcher for Points and Lines 🖼️💥🖼️ (ICCV 2023)
Machinelearning Deeplearning Code For My Youtube Channel
The full collection of all codes for my Youtube Channel segregated as per topic.
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