TranslatedDive into LLMs: a series of hands-on programming tutorials
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The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Translated[🔥updating ...] AI automated quantitative trading robot (fully local deployment) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
- funds
- machine-learning
- pytrade
- quantitative-finance
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TranslatedChinese tutorial on reinforcement learning (Mushroom Book 🍄), read online at: https://datawhalechina.github.io/easy-rl/
- deep-reinforcement-learning
- reinforcement-learning
- dqn
- ppo
Kubernetes Community Documentation
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
- pytorch
- pytorch-tutorials
- pytorch-tutorials-cn
- deep-learning
TranslatedLangGPT: Empowering everyone to become a prompt expert! 🚀 📌 Proposer of Structured Prompt 📌 Initiator of Meta-Prompt 📌 The most popular paradigm for putting prompts into practice | Language of GPT The pioneering framework for structured & meta-prompt design 10,000+ ⭐ | Battle-tested by thousands of users worldwide Created by 云中江树 (Yunzhong Jiangshu, "river and trees amid the clouds")
《Python Cookbook》 3rd Edition Translation
- python
- python3
- python3-cookbook
- readthedocs
QLoRA: Efficient Finetuning of Quantized LLMs
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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.
The fastest way to create an HTML app
Create delightful software with Jupyter Notebooks
- jupyter-notebooks
- python
- literate-programming
- fastai
The Hunting ELK
- hunting
- elasticsearch
- kibana
- logstash
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
- data-science
- python
- dag
- data-engineering
Algorithms for outlier, adversarial and drift detection
- anomaly
- outlier
- concept-drift
- detection
Handout for the tutorial "Creating publication-quality figures with matplotlib"
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
- deep-learning
- depth-prediction
- visual-odometry
- self-supervised-learning
Markdown <=> IPython Notebook