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")
Repository Index
47,133 repositories indexed
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The "Python Machine Learning (1st edition)" book code repository and info resource
- machine-learning
- machine-learning-algorithms
- logistic-regression
- data-science
Solve puzzles. Learn CUDA.
- cuda
- machine-learning
- puzzles
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
- inpainting
- inpainting-methods
- inpainting-algorithm
- computer-vision
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
TensorFlow Tutorials with YouTube Videos
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
- data-drift
- jupyter-notebook
- pandas-dataframe
- machine-learning
Playing Pokemon Red with Reinforcement Learning
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.
A course in reinforcement learning in the wild
- reinforcement-learning
- course-materials
- deep-learning
- deep-reinforcement-learning
A scikit-learn compatible neural network library that wraps PyTorch
links to conference publications in graph-based deep learning
- graph-neural-networks
- graph-convolutional-networks
- graph
- deep-learning
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
- tensorflow
- machine-learning
- regression
- convolutional-neural-networks
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
- webgpu
- deep-learning
- stable-diffusion
- web-assembly
🛠 All-in-one web-based IDE specialized for machine learning and data science.
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
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management