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IUMB supports machine learning models, deployment, inspection, datasets, or AI development workflows.
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jan.ai
Jan is an open-source alternative to ChatGPT. It runs open-source AI models locally or connects to cloud models such as GPT and Claude. The download is offered for Mac. A memory feature is listed as coming soon.
github.com
Keras GPT Copilot is a Python package that integrates an LLM copilot within the Keras model development workflow, generating feedback from model configuration, optimizer details and experiment results. It interacts with OpenAI's GPT models and offers a prompt-only mode for compatibility with other large language models.
github.com
Keras.js runs Keras models in the browser with GPU support using WebGL 2, and models can also run in Node.js in CPU mode. Models can be trained in any backend, including TensorFlow and CNTK. The project is no longer active and no longer updated, though the demos still work.
kilo.ai
Kilo is an open source AI coding agent for VS Code, JetBrains, CLI, desktop and cloud. It offers access to 500+ models at zero markup, bring-your-own keys, or local models for privacy. Kilo Gateway provides a unified API to access AI models through a single endpoint.
huggingface.co
Kokoro-82M is an open-weight text-to-speech model with 82 million parameters, released under the Apache 2.0 license. It delivers audio quality comparable to larger TTS models while being faster and more cost-efficient, and its weights can be deployed in both production and personal environments.
github.com
KotlinDL is a high-level deep learning API written in Kotlin and inspired by Keras. It uses TensorFlow Java API and ONNX Runtime API for Java, and offers APIs for training models from scratch, importing Keras and ONNX models for inference, and transfer learning.
github.com
L1B3RT4S is a GitHub repository of prompt files intended for jailbreaking flagship AI models. It contains separate files named after providers and models, such as CHATGPT, ANTHROPIC, GOOGLE, META and OPENAI, along with system prompts and miscellaneous materials. The repository is described as liberation prompts for AI models and is released under the AGPL-3.0 license.
github.com
LightlySSL is a Python computer vision framework for self-supervised learning on images, written in a PyTorch-like style. It exposes low-level building blocks such as loss functions and model heads, supports custom backbone models for self-supervised pre-training, and supports distributed training using PyTorch Lightning. Sample code covers models including MoCo, SimCLR, BYOL and DINO.
support.google.com
Limits provides machine-learning models, research, training resources, or evaluation tools.
github.com
LLama Cpp Agent is a framework designed for easy interaction with large language models (LLMs). It allows users to chat with LLMs, execute structured function calls, and retrieve structured output. It works with models not fine-tuned for JSON output or function calls. The project is hosted as a public repository on GitHub.
blog.steelph0enix.dev
llama.cpp guide is a blog post on SteelPh0enix's blog that explains how to run large language models (LLMs) locally on any hardware using llama.cpp. Published on 2024-10-28 and updated on 2024-12-25, the guide covers building llama.cpp, obtaining and quantizing models, running the server, configuring settings, and hardware requirements.
llm.datasette.io
LLM provides machine-learning models, research, training resources, or evaluation tools.
potent-twister-29f.notion.site
LLM Papers provides machine-learning models, research, training resources, or evaluation tools.
llm-prices.com
LLM pricing calculator is a web page for estimating model costs per million tokens. It takes input, cached input and output token counts and reports cost per million input tokens, per million cached input tokens and per million output tokens. It notes that direct token-based price comparisons may not be entirely accurate because different models use different tokenizers.
llmresourceshub.vercel.app
LLM Resources Hub provides machine-learning models, research, training resources, or evaluation tools.
llm-stats.com
LLM Stats is an AI leaderboard that ranks GPT, Claude, Gemini, Llama, DeepSeek and more than 300 AI models by intelligence, speed and price. Scores are computed from public benchmarks and live API metrics.
petergpt.github.io
LLMs Bullshit Benchmark provides machine-learning models, research, training resources, or evaluation tools.
github.com
LMFlow is a toolkit for finetuning and inference of large foundation models, presented as extensible, convenient and efficient. It offers support for custom optimizer training, conversation templates, speculative decoding, long context inference with position interpolation for LLaMA models, and Flash Attention-2. The project is released under the Apache-2.0 license and was made available on PyPI.
github.com
Lobe is a free tool for Mac and PC that helps users train machine learning models and ship them to any platform. The GitHub organization hosts starter projects for iOS and web, a Python toolset for working with Lobe models, and tools for creating image-based datasets. The team states the Lobe desktop application is no longer under development.
github.com
LocalGPT is an on-premise document intelligence platform that lets users chat with their documents on their local device using GPT models. It supports PDF, DOCX, HTML, Markdown, and TXT files and combines dense vector search with LanceDB full-text search and a cross-encoder reranker. It runs with a plain Python RAG core and offers generation models via Ollama.
locallyuncensored.com
Locally Uncensored provides machine-learning models, research, training resources, or evaluation tools.
rentry.org
A links page listing resources related to running local language models. It gathers guides, including a quick start guide for running models locally, model sources such as HuggingFace for current quants, and inferencing frontends including Text Gen WebUI.
github.com
LoLLMs WebUI is a web user interface for large language and multimodal systems. The repository describes it as a local, single-user webui with multi models and modal support, providing an interface to access and utilize various LLM and other AI models.