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Code search MCP for Claude Code. Make entire codebase the context for any coding agent.
Transformers are Sample-Efficient World Models. ICLR 2023, notable top 5%.
MR.Q is a general-purpose model-free reinforcement learning algorithm.
Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"
Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories
DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.
A framework for training world models with virtual environments, complete with annotated environment dataset (RetroAct), exploration agent (AutoExplore Agent), and GenieRedux-G - an implementation …
Pytorch implementation of "Genie: Generative Interactive Environments", Bruce et al. (2024).
A tempermonkey for rendering latex in Notebooklm
just-every / code
Forked from openai/codexFast, effective, mind-blowing, coding CLI. Browser integration, multi-agents, theming, and reasoning control. Orchestrate agents from OpenAI, Claude, Gemini or any provider.
Distrax, but in equinox. Lightweight JAX library of probability distributions and bijectors.
💥 Blazing fast terminal file manager written in Rust, based on async I/O.
A smarter cd command. Supports all major shells.
An extremely fast Python type checker and language server, written in Rust.
code for CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data (CVPR 2022)
An extension of the PyTorch library containing various tools for performing deep learning in hyperbolic space.
Hyperbolic PCA via Horospherical Projections
Experiments and content for the "Accelerating hyperbolic t-SNE" paper.
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
An up-to-date, community-made list of European tech alternatives. The aim is to highlight projects and companies that meet GDPR, UK GDPR, and Swiss FADP standards, following regulations and practic…
Curated list of data science interview questions and answers
A generative world for general-purpose robotics & embodied AI learning.
Notebooks for the "Deep Learning with JAX" book