deep-learning

A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.

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

Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

Deep Learning Specialization by Andrew Ng on Coursera.

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

A Collection of Variational Autoencoders (VAE) in PyTorch.

:fire: 2D and 3D Face alignment library build using pytorch

Efficiently computes derivatives of NumPy code.

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

A customisable 3D platform for agent-based AI research

Become a cracked AI/ML researcher/engineer with this unconventional textbook covering maths, computing, and ML with intuition.

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）