Teeoutput
β# tee-output β A Python library that tees the standard output & standard error from the current process to files on disk, while preserving terminal semantics (so breakpoint(), etc work as normal)β
What the smart people are recommending. 7861 books, tools, and products endorsed by the thinkers absorb.md tracks. Ranked by how many times each has been recommended across compiled podcasts, papers, posts, and tweets.
β# tee-output β A Python library that tees the standard output & standard error from the current process to files on disk, while preserving terminal semantics (so breakpoint(), etc work as normal)β
β# jest-playground β Play around with jest β
βIf you want to learn more, you'll find us on github where else just go to qrlions.org and you'll find examples getting started material and more about what we do how we operate and how to contact usβ
βthis is a really cool package that's explicitly focused on um uh question answering over Panda's data frames so we benchmarked thatβ
βand and all this is in this repo that we put up link chain benchmarksβ
β# react-postgres-components β An experiment on deploying remote functions that run inside Postgres using v8β
βreact-detect-click-outsideβ
βstyled-componentsβ
βThis is a quick node project template for demoing Codespaces. It is based off of the Azure node sample. It's great!!!β
βSource code is available at https://github.com/xuyige/CrossMath.β
βRead at: [blog.keras.io](http://blog.keras.io/)β
βAll six checkpoints are released on the HuggingFace Hub at https://huggingface.co/PearlLeeStudio.β
βWe detail the SPINE framework and case studies at https://github.com/rminshen03/EAI_Privacy_Position.β
βCode is available at https://github.com/dl-m9/SIOP.git.β
βCode is available at https://github.com/Indigma-Innovations/federated-learning-ev-charging-demand.β
β# wordledge β GitHub repo ## Wordledge An implementation of [Wordle](https://www.powerlanguage.co.uk/wordle/) to help you learn Next.js and Vercel.β
βFor reproducibility, we publish our code to https://github.com/UNL-CPN-Lab/Look-Once-Beam-Twice.β
βThe whole thing is built from a centralized YAML file. So it should be pretty modular in case you want to try it on different content.β
βHere's something I built to explore the stuff I've written (blog posts and publications). It's still a bit of work in progress, but it's pretty fun, especially the "semantic" tab + sliders.β
βOur benchmark and the associated reward models are publicly available at https://github.com/wesar1/UniEditBench.β
βThis repository is a collection of tutorials for MIT Deep Learning courses. More added as courses progress.β
βThe demo is inspired by [Lucas Crespo's tweet](https://twitter.com/lucas__crespo/status/1795870218234785865) that asks: "What if ChatGPT came out in '95?".β
β# proto_agi β GitHub repoβ
β# keras-resources β Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning libraryβ
βElephas: Distributed Deep Learning with Keras & Sparkβ
βHyperas: Hyperparameter optimizationβ
βgem install webrick (only ruby3)β
βgem install active_supportβ
βOpen weights. Agentic coding that actually finishes.β
βOur code and data are available at https://github.com/Flians/MappingEvolve.β
βAll code and recipes are made publicly available.β
βCode is available at https://github.com/visinf/MARCO .β
βOur code is available at: https://aka.ms/Debug-XAI.β
βOur code and data are available at https://github.com/CHIANGEL/Agora-Opt.β
βThe code is available at https://github.com/votrinhan88/divbfkd.β
βCode & models will be public at https://anticdimi.github.io/lexis.β
βCode and Data are provided in https://recursivemas.github.io.β
βFind us on Twitter at no prior pod subscribe to our YouTube channel if you want to see our faces follow the show on Apple podcast Spotify or wherever you listen that way you get a new episode every weβ¦β
βEmber is available at https://github.com/zachmacsmith/ember and is installable via pip install ember-qc.β
βWe release the benchmark (https://github.com/lunyiliu/GaoYao).β
βAll code and data will be publicly available at https://github.com/aliyun/qwen-dianjin.β
βOur code and data are available at https://github.com/CoderDoge1108/SynthFix.β
βThere's a really cool project called dpy or DSP I don't know how to pronounce it um but it's out of Stanfordβ
βThe dataset is available in https://huggingface.co/datasets/goodpiku/muscat-evalβ
βPromptim: an experimental library for prompt optimizationβ
βgraph cast most recently our weather prediction system but when it comes to uh uh uh uh uh you know the core technology the foundational technology in very general purpose I think the question I wouldβ¦β
βOur dataset and code are publicly available at: https://thusharakart.github.io/Thermo-VLβ
βOur scikit-learn-compatible toolbox (github.com/UMCU-RIBS/BCI-sift) simplifies feature selection in BCI tasks by integrating advanced optimization methods.β
β# genui-demo β GitHub repoβ
βOur code is publicly available at https://github.com/ZBWpro/OnePred.β
βOur code is publicly available at https://github.com/ZBWpro/Co-ReAct.β
βCode is released at https://github.com/liliupeng28/ICML26-CVSearch.β
βOur code is available at https://github.com/Lumina04/CARE.β
βThe code and data are available at https://github.com/AlexFanw/LegalSearch-R1.β
βso if you want to generate a model you want to think about how to Benchmark it so we uh got this paper accepted in Europe um a couple years ago where we actually show a library called Tartarus we actuβ¦β
βClick on `Use this template` to copy the Mintlify starter kit.β
βI think we talked about that here a bit. That's an open source training tool. It helps AI models, improve themselves by running five-minute experiments. That got over 82,000 stars on GitHub.β
βMedAgentBench establishes this and is publicly available at https://github.com/stanfordmlgroup/MedAgentBench , offering a valuable framework for model developers to track progress and drive continuousβ¦β
βWe open-source SpecReason at https://github.com/ruipeterpan/specreason.β
βThe entire training pipeline and dataset are publicly released on GitHub and Hugging Face respectively.β
βCode: https://github.com/sebasmos/qml-medimageβ
βThe entire training pipeline and dataset are publicly released on GitHub and Hugging Face respectively.β
βCodes and data can be found at https://github.com/k59118/Harness_Optimizer_Evaluation.β
βOur project is available at: https://dora-explore.github.io/.β
βWe present Open-TQ-Metal, the first implementation of fused compressed-domain attention on Apple Siliconβ
βCheckpoints and datasets are available at https://huggingface.co/collections/NebulaPixel/summorchestra-multirole-summary.β
βOur code is available at: https://github.com/ysfalh/distillation-game.β
βThe partial MAES for the clinical scenario simulator is open sourced here.β
βThe project code is available at https://github.com/DrThink-ai/CDSA-Net.β
βCode is available at: https://github.com/UNITES-Lab/GoA.β
βCode is available at https://github.com/RL-MIND/OrthoReg.β
βresend](https://github.com/resendlabs/resend-ruby) gem >= 1.0β
βOur code is available at https://github.com/Antonio-Dee/IIE_from_LLM.β
βCode is available at \href{https://github.com/Aalto-QuML/Hourglass}{this https URL}.β
βpeople are sleeping on how excellent goose has become under the hood (interface needs some work but team is pushing). it's a superpower.β
βCode and Dataset: https://github.com/smarizvi110/sentinel-benchβ
βCode is available on GitHub: https://github.com/ReinerBRO/HeLa-Memβ
βCode is available at: https://github.com/april-tools/delta-vi.β
βqmd-query-expansion-1.7B-q4_k_m | Query expansion (fine-tuned)β
βCodes are released at https://github.com/Yuzhe-Fu/FlashFPS.β
βTo support reproducibility and future work, we additionally release PLUM (Politeness Levels in Utterances, Multilingual), a publicly available corpus of 1,500 human-validated prompts across three langβ¦β
βOur code is available at https://github.com/happywinder/SCHK-HTC.β
βWe present TNRKit.jl, an open-source Julia package for Tensor Network Renormalization (TNR) of two- and three-dimensional classical statistical models and Euclidean lattice field theories.β
βBuilt on top of TensorKit.jl\cite{tensorkit}, it provides a symmetry-aware framework for constructing tensor-network representations of partition functions and coarse-graining them using methods such β¦β
βThe code is available at https://github.com/huidong-ma/FADE.β
βThe dataset and prompts are available at https://github.com/Hapluckyy/EVGeoQA/.β
βCode of the work is available at: https://github.com/palindromeRice/ClickBait_Detection_Architectureβ
βCode available at https://github.com/ryliu68/CAAP.β
βCorrespondingly, we contribute a benchmark of 26K samples (UI Comprehension-Bench) to comprehensively evaluate existing methods' mastery of UI elements.β
βConceptTracer is available at https://github.com/ml-lab-htw/concept-tracer.β
βOur code and datasets are available at \href{https://github.com/xbdxwyh/ChunQiuTR}{\texttt{github.com/xbdxwyh/ChunQiuTR}}.β
βCode is available at https://github.com/qipengz/BLAE.β
βTo ensure reproducibility, the full Python code is publicly available.β
βAll the code and experiments are publicly available at github.com/tiagobrogueira/Causal-Discovery-In-Exchangeable-Data.β
βAccelerating Deep Learning Research with the Tensor2Tensor Libraryβ
βOur code is available at https://github.com/OnnoNiemann/fp_diffusion_analysis.β
βFull code + walkthrough: https://t.co/ozm4VwWmj3β
βIt is publicly available at https://github.com/munich-quantum-toolkit/core.β
βProject page: http://compvis.github.io/myriad.β
βKeras Deep Learning Tutorial for Kaggle 2nd Annual Data Science Bowlβ