DeepLearning
AI-For-Beginners
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| DeepLearning | AI-For-Beginners | |
|---|---|---|
| 1 | 8 | |
| 3 | 31,046 | |
| - | 11.1% | |
| 0.0 | 6.7 | |
| almost 2 years ago | 5 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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DeepLearning
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Help with my PyTorch implementation of PPO
I implemented PPO using PyTorch here. As is suggested, I was trying it on very simple environment (CartPole-v1).
AI-For-Beginners
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FREE AI Course By Microsoft: ZERO to HERO! 🔥
🔗 https://github.com/microsoft/AI-For-Beginners 🔗 https://microsoft.github.io/AI-For-Beginners/
- AI For Beginners
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Artificial Intelligence for Beginners – A Curriculum
This is a good summary of most topics in AI/ML. The only thing that it seems to by missing (or maybe I'm just not seeing it) is a section on generative AI for images and video (DALL-E, Stable Diffusion etc).
They do cover LLMs which is generative AI for text though: https://github.com/microsoft/AI-For-Beginners/blob/main/less...
- Artificial Intelligence course
- Artificial Intelligence for Beginners course
- Microsoft's AI for Beginners
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Announcing a New Free Curriculum: Artificial Intelligence for Beginners
Students can use this curriculum to learn the basics of AI and Neural Networks. In addition to text-based lessons, there are executable Jupyter Notebooks with samples, as well as labs that you can do to deepen your knowledge. You can run notebooks either on your local computer or in the cloud. Join your peers on GitHub Discussion Boards to learn together and watch for more learning opportunities online.
What are some alternatives?
cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
GAN-RNN_Timeseries-imputation - Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.
conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
analisis-numerico-computo-cientifico - Análisis numérico y cómputo cientÃfico
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.
Deep-Learning-Experiments - Videos, notes and experiments to understand deep learning
CodeSearchNet - Datasets, tools, and benchmarks for representation learning of code.
weightless_NN_decompression - Proof of concept for neural network decompression without storing any weights
chainerrl - ChainerRL is a deep reinforcement learning library built on top of Chainer.
TSAI-DeepNLP-END2.0