handson-ml
fer
| handson-ml | fer | |
|---|---|---|
| 1 | 3 | |
| 25,094 | 317 | |
| - | - | |
| 0.0 | 3.9 | |
| 7 months ago | about 2 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
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handson-ml
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need a book recommendation for machine learning on python
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow is often recommended. You can check out the GitHub repo first: https://github.com/ageron/handson-ml
fer
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500 Realistic Vision portraits, eyes aligned, sorted by happiness
I used this: https://github.com/justinshenk/fer
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FER lib accessible to a mere mortal?
I've tried a bunch of them, but I don't even know what's the most recent project in this space. The last one I've tried was this: https://github.com/justinshenk/fer
What are some alternatives?
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AeroPython - Classical Aerodynamics of potential flow using Python and Jupyter Notebooks
face-emotion-recognition - Efficient face emotion recognition in photos and videos
Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
emotion-classifier - An attention-based BiLSTM for emotion classification.
ML-Workspace - 🛠 All-in-one web-based IDE specialized for machine learning and data science.
TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.
Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network - Enhancing Speech Emotion Classification with CNNs: This project seeks to overcome the limitations of traditional approaches and improve the accuracy of emotion recognition. CNNs automatically extract features from speech signals, capturing complex patterns and nuances, leading to enhanced performance compared to traditional methods.
python-machine-learning-book-3rd-edition - The "Python Machine Learning (3rd edition)" book code repository
BigDL - Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, etc.