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Starred repositories
🦜🔗 Build context-aware reasoning applications
Learn how to design, develop, deploy and iterate on production-grade ML applications.
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A High-Quality Real Time Upscaler for Anime Video
Data and code behind the articles and graphics at FiveThirtyEight
This repository contains implementations and illustrative code to accompany DeepMind publications
PRML algorithms implemented in Python
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Labs and demos for courses for GCP Training (https://cloud.google.com/training).
Reference models and tools for Cloud TPUs.
Repo for the Deep Reinforcement Learning Nanodegree program
Examples and guides for using the Gemini API
felixge's notes on the various go profiling methods that are available.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
SoTA LLM for converting natural language questions to SQL queries
Productivity Tools for Plotly + Pandas
A Haskell kernel for the Jupyter project.
This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) avai…
Making Protein folding accessible to all!
Source code accompanying O'Reilly book: Machine Learning Design Patterns
Rainbow is all you need! A step-by-step tutorial from DQN to Rainbow
A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.
functorch is JAX-like composable function transforms for PyTorch.
TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..