Machine Learning · GitHub

An extension of Open3D to address 3D Machine Learning tasks

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

Python 开源项目之「自学编程之路」，保姆级教程：AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。

Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

• Support for a wide variety of language models (GPT2, BERT, RoBERTA, T5, T0, and others) [notebook & instructions for adding more models].
• Ability to add your own local models (if they're based on Hugging Face pytorch models).

Portfolio optimization with deep learning.

• all layers built on torch and fully differentiable
• integrates differentiable convex optimization (cvxpylayers)

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

《推荐系统：工业架构与核心算法》AI Native 书稿｜章节 PDF、知识地图与本地学习 Agent， 网址：https://jhljx.github.io/RecSys-Industrial-Book/

DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

Any3R: Feedforward 3D Reconstruction from Any Camera Type — pinhole, fisheye beyond 180°, 360° panoramas, or any mix, in one forward pass

• One model for every central camera. Thirteen camera models are built in (pinhole, Brown–Conrady, Kannala–Brandt, equidistant, equisolid, stereographic, FOV, MEI, double sphere, EUCM, cylindrical, equirectangular and equirectangular windows), and any other central camera works through its ray field.
• Mixed cameras in one scene. Views from different cameras, with different sizes and fields of view, are reconstructed together into one consistent point cloud.

Deep learning driven jazz generation using Keras & Theano!

Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.