Qwen2.5-Omni is an end-to-end multimodal model by Qwen team at Alibaba Cloud, capable of understanding text, audio, vision, video, and performing real-time speech generation.
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Машинное обучение на ФКН ВШЭ
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
- deep-reinforcement-learning
- qlearning
- deep-learning
- tensorflow-tutorials
Notes about courses Dive into Deep Learning by Mu Li
This is Andrew NG Coursera Handwritten Notes.
- andrewng
- andrew-ng
- andrew-ng-course
- andrew-ng-machine-learning
中文nlp解决方案(大模型、数据、模型、训练、推理)
- bert
- nlp
- transformers
- gpt2
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
The fast.ai course notebooks
- deep-learning
- fastai
- jupyter-notebooks
- machine-learning
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
- webgpu
- deep-learning
- stable-diffusion
- web-assembly
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
Open Machine Learning course
- machine-learning
- python
- course
- deep-learning
All notes and materials for the CS229: Machine Learning course by Stanford University
- machine-learning
- stanford-university
- neural-networks
- cs229
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
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
A complete course for learning Bitcoin programming and usage from the command
18.06 course at MIT
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.
- face-swap
- generative-adversarial-network
- gan
- gans
This repository is a curated collection of hands-on data science projects tailored for beginners. Whether you're just starting your journey in data science or looking to strengthen your skills, these projects provide a practical and interactive way to apply your knowledge.
Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework
- image-translation
- stylegan
- generative-adversarial-network
- stylegan-encoder
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
🔊 Text-prompted Generative Audio Model - With the ability to clone voices
- ai-text-to-speech-tools
- ai-rapper-voice-generator
- ai-singing-voice-generator
- ai-voice-changers