mlc-ai is an organization on GitHub that focuses on machine learning and AI technologies. Their public repositories include a wide range of projects primarily developed in Python, TypeScript, Jupyter Notebook, and C++. Notable repositories such as mlc-llm and web-llm showcase their efforts in LLM deployment and inference engines.
Top languages
Public repositories
mlc-llm
Universal LLM Deployment Engine with ML Compilation
web-llm
High-performance In-browser LLM Inference Engine
web-stable-diffusion
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
xgrammar
Fast, Flexible and Portable Structured Generation
web-llm-chat
Chat with AI large language models running natively in your browser. Enjoy private, server-free, seamless AI conversations.
mlc-zh
No description provided for this repository.
tokenizers-cpp
Universal cross-platform tokenizers binding to HF and sentencepiece
mlc-en
No description provided for this repository.
binary-mlc-llm-libs
No description provided for this repository.
notebooks
No description provided for this repository.
pith-train
Compact and Agent-Native MoE Training System
relax
No description provided for this repository.
llm-perf-bench
No description provided for this repository.
web-llm-assistant
AI Assistant running within your browser.
mlc-python
No description provided for this repository.
web-agent-interface
An interface for AI Agents to interact with various web platforms.
package
No description provided for this repository.
webllm-playground
Run LLMs in the Browser with MLC / WebLLM ✨
book-en
No description provided for this repository.
docs
The documents for TVM Unity
mlc-training
Relax Training APIs Tutorial and Examples
blog
No description provided for this repository.
text-generation-webui
A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.
dlight-bench
No description provided for this repository.
env
repo for docker related builds
mlc-backtrace
No description provided for this repository.
web-data
supporting data for web
z3-staticlib
No description provided for this repository.
ate-bench
Evaluate PithTrain, Megatron-LM, TorchTitan on agent-task efficiency.
wheels
No description provided for this repository.
XGrammar-web-assets
No description provided for this repository.
book-zh
No description provided for this repository.
auditwheel
Auditing and relabeling cross-distribution Linux wheels.
jekyll-theme-mlc
No description provided for this repository.
tvm-ffi
Open ABI and FFI for Machine Learning Systems
mlc-ai.github.io
No description provided for this repository.
Frequently asked questions
What does mlc-ai build on GitHub?
mlc-ai builds various projects related to machine learning and AI on GitHub. Their repositories include tools for LLM deployment, in-browser inference engines, and web-based applications, highlighting their focus on making advanced AI accessible.
Which programming languages does mlc-ai use?
mlc-ai primarily uses Python and TypeScript in their projects, along with Jupyter Notebook, C++, and Shell. This diverse set of languages allows them to develop a wide range of applications in the AI and machine learning domain.
Are mlc-ai's repositories public?
Yes, mlc-ai's repositories are public on GitHub. This transparency allows users and developers to access, contribute to, and audit their projects, promoting collaboration and community involvement in their machine learning initiatives.
Is this exposure intended?
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