🚀 JIT Implementation: Code That Writes Itself
☆118Oct 3, 2024Updated last year
Alternatives and similar repositories for jit-implementation
Users that are interested in jit-implementation are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Shared Nearest Neighbors clustering implementation. This code is basically a wrapper of sklearn DBSCAN, implementing the neighborhood s…☆16Jan 10, 2022Updated 4 years ago
- [WWW 25] USPTO-LLM: A Large Language Model-Assisted Information-enriched Chemical Reaction Dataset☆19Dec 12, 2024Updated last year
- Multiple Generalized Additive Models implemented in Python (EBM, XGB, Spline, FLAM). Code for our KDD 2021 paper "How Interpretable and T…☆14Aug 15, 2021Updated 4 years ago
- ☆34Apr 16, 2026Updated 2 months ago
- This is the official code implementation of Bongard-OpenWorld (ICLR 2024).☆14Jan 6, 2025Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- ☆33Jul 27, 2025Updated 10 months ago
- A guide on how to debug an Electron app.☆12Jan 29, 2017Updated 9 years ago
- ☆16Dec 21, 2023Updated 2 years ago
- ☆21Jun 3, 2019Updated 7 years ago
- Codebase topic modeling using GNNs(Node aggregation and clustering)☆62Jun 30, 2023Updated 2 years ago
- Official implementation for Sparse MetA-Tuning (SMAT)☆17Jul 29, 2025Updated 10 months ago
- ACER is an AST-based Callgraph Generator Development Framework☆41Jun 17, 2024Updated last year
- ☆14Dec 28, 2023Updated 2 years ago
- ☆11Apr 22, 2022Updated 4 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Rust-native GPU kernel authoring framework: write GPU compute kernels in Rust, compile to PTX. The Triton equivalent for the Rust ecosyst…☆33Updated this week
- ☆16Oct 31, 2024Updated last year
- Get aid from local LLMs right in your PowerShell☆16May 2, 2025Updated last year
- This framework provides out-of-the-box implementations of Referential Games variants in order to study the emergence of artificial langua…☆23Dec 2, 2025Updated 6 months ago
- Minimum Description Length Recurrent Neural Networks (MDLRNNs) in PyTorch☆22May 6, 2025Updated last year
- Boolean short circuit logic for js proimses☆12Jan 7, 2023Updated 3 years ago
- Simple Backup Framework in Python☆13Feb 19, 2016Updated 10 years ago
- Python modules with public exports☆22May 19, 2022Updated 4 years ago
- A simple ChatGPT plugin to execute Jupyter notebooks.☆10Jun 2, 2023Updated 3 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- ☆13Apr 10, 2026Updated 2 months ago
- Repository describing example random control tasks for designing and interpreting neural probes☆32Jun 21, 2022Updated 3 years ago
- Burglar and Fire Alarm System / Arduino☆20May 12, 2013Updated 13 years ago
- Pagerank in Julia. An experiment in pagerank on graphs in the order of billions of edges. Currently tested with over half a billion edges…☆12Aug 14, 2013Updated 12 years ago
- CLI for executing multiple commands in parallel with minimal footprint (~2KB).☆12Apr 14, 2026Updated 2 months ago
- A python implementation of priompt - a neat way of managing context from diverse sources for LLM applications.☆117Jul 11, 2025Updated 11 months ago
- An agent-based model for scientific inquiry based on abstract argumentation☆13Jan 17, 2022Updated 4 years ago
- An extremely configurable markdown reverser for Python3.☆17Jun 2, 2026Updated 2 weeks ago
- A semantic caching layer for LLM apps. It’s meant to cut down on repeated API calls even when the user phrases things differently☆15Jul 3, 2025Updated 11 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Convert setup.cfg, etc. to pyproject.toml files☆14Mar 30, 2026Updated 2 months ago
- ☆11Feb 15, 2023Updated 3 years ago
- A list of articles outside of the official MLIR docs that I've found useful for learning MLIR☆13Aug 16, 2023Updated 2 years ago
- Code for Learning to Defer to Multiple Experts: Consistent Surrogate Losses, Confidence Calibration, and Conformal Ensembles [AISTATS'23]☆13Jul 28, 2023Updated 2 years ago
- ☆17May 7, 2026Updated last month
- A collection of office templates that I find useful in my day-to-day life and work.☆10Oct 14, 2015Updated 10 years ago
- ☆19May 25, 2020Updated 6 years ago