Jupyter notebooks from the scikit-learn video series
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Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
- estimation
- perception
- robotics
- sensorfusion
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
- python
- machine-learning
- deep-learning
- pytorch
TensorFlow 最新官方文档中文版
Open-source and strong foundation image recognition models.
- tag2text-iclr2024
- recognize-anything
🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.
- projects
- python-projects
- machine-learning
- artificial-intelligence
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
- python-tutorials
- python3
- advanced-python
- data-science
深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI
- cnn
- rnn
- detection
- classification
Lectures on scientific computing with python, as IPython notebooks.
”数学不难“ 之 《线性代数不难》上下册，66话题完册；欢迎批评指正
A Deep Learning based project for creating line art portraits.
- movie-poster
- colab
- art-portraits
- deep-learning
[CVPR 2022] Thin-Plate Spline Motion Model for Image Animation.
- deep-learning
- deepfake
- face-animation
- face-reenactment
Open Machine Learning course
- machine-learning
- python
- course
- deep-learning
快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。
骆驼(Luotuo): Open Sourced Chinese Language Models. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技
🛠 All-in-one web-based IDE specialized for machine learning and data science.
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
- deep-learning
- tensorflow-examples
- convolutional-neural-networks
- recurrent-neural-networks
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
- causal-inference
- python
- causality
- data-science
A Code-First Introduction to NLP course
- nlp
- machine-learning
- data-science
- python
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
- machine-learning
- deep-learning
- lstm
- human-activity-recognition
Debugging, monitoring and visualization for Python Machine Learning and Data Science
A complete course for learning Bitcoin programming and usage from the command
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker