Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
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A replica of the AlphaZero methodology for deep reinforcement learning in Python
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
- deep-learning
- evaluation
- foundation-models
- instruction-following
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
- deep-learning
- vision-transformer
- bert-model
- bert
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation 🔥
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
- deep-learning
- depth-prediction
- visual-odometry
- self-supervised-learning
Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜
Implementation of all RL algorithms in a simpler way
Approaching (Almost) Any Machine Learning Problem中译版，在线文档地址：https://ytzfhqs.github.io/AAAMLP-CN/
Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
- deep-learning
- bayesian-inference
- pytorch
- reproducible-research
Public repo for DeepLearning.AI MLEP Specialization
OneDiff: An out-of-the-box acceleration library for diffusion models.
- comfyui
- diffusers
- pytorch
- sdxl
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
Hands-On Machine Learning for Algorithmic Trading, published by Packt
Exercise notebooks for Machine Learning modules on Microsoft Learn
Multiple NVIDIA GPUs or Apple Silicon for Large Language Model Inference?
AI magics meet Infinite draw board.
- pytorch
- stable-diffusion
- pypi
- python
BERT score for text generation
100 days of LLM inference engineering — daily posts, experiments, and visualizations
Notebooks about Bayesian methods for machine learning
- machine-learning
- bayesian-methods
- bayesian-machine-learning
- gaussian-processes
ebook Machine Learning cơ bản
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
Natural Gradient Boosting for Probabilistic Prediction
- machine-learning
- gradient-boosting
- natural-gradients
- uncertainty-estimation