Deep Learning tutorials in jupyter notebooks.
- deep-learning
- keras
- python3
- jupyter-notebook
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WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Official content for Harvard CS109
Discovering Interpretable GAN Controls [NeurIPS 2020]
- generative-adversarial-network
- gan
- deep-learning
- interactive-visualizations
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
Awesome-pytorch-list 翻译工作进行中......
- pytorch
- python
- machine-learning
- deep-learning
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
- deep-learning
- machine-learning
- stock-price-prediction
- features-extraction
DL course co-developed by YSDA, HSE and Skoltech
- deep-learning
- course
- course-materials
- theano
A comprehensive guide to understanding and implementing large language models with hands-on examples using LangChain for GenAI applications.
This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
Try out deep learning models online on Google Colab
- colab-notebook
- deep-learning
- deep-neural-networks
- cnn
deeplearning.ai , By Andrew Ng, All slide and notebook + data + solutions and video link
Vision utilities for web interaction agents 👀
- ocr
- playwright
- selenium
- webscraping
A Modular Framework for 3D Gaussian Splatting and Beyond
- 3d-reconstruction
- 3dgs
- gaussian-splatting
- multi-view-reconstruction
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
- trading-strategies
- backtesting
- stocks
- financial-data-science
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
- descriptors
- image-matching
- image-registration
- keypoints
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Machine Learning in Asset Management (by @firmai)
- machine-learning
- trading-strategies
- assets-management
- algorithmic-trading
Implementing the 4 agentic patterns from scratch
Data and methodology for the Big Mac index
武汉大学课程资料整理-WHU课代表计划
- whu