Directory
Search published websites, apps and repositories.
Awesome-Code-LLM is a curated list of code large language models for research, covering top code LLMs, evaluation toolkits, leaderboards and related papers. It also lists evaluation frameworks for autoregressive code generation models and a secure sandbox for judging generated code.
awesome-hermes-agent is an independent directory of useful skills, plugins, memory providers, tools, surfaces, and guides for Nous Research's open-source Hermes Agent. It serves as a resource for developers working with the Hermes Agent ecosystem.
A curated list of R packages, frameworks and software, organized into sections such as integrated development environments, data manipulation and machine learning. The repository also links to learning resources including websites, books and MOOCs.
Open-source project that applies AI to data analysis, extraction, visualization, or business intelligence.
Tool designed to streamline the fine-tuning of various AI models, offering support for multiple configurations and architectures.
Batch workflow job scheduler created at LinkedIn to run Hadoop jobs.
BabyAGI UI is an open-source project hosted on GitHub, designed to facilitate running and developing BabyAGI within a web application with a ChatGPT-like interface. The repository includes a getting started guide, roadmap, and stack documentation for users and contributors.
BabyCommandAGI is a Python script system based on BabyAGI that is designed to test combining CLI and LLM interfaces, with the thinking part of BabyAGI greatly simplified to execute commands efficiently. The README warns that it may unintentionally destroy the environment, recommends running it in a virtual environment such as Docker, and recommends Claude 3.7 Sonnet or higher.
Backprop is a Python library, installable via PyPi, that enables use, finetuning and deployment of machine learning models. It provides task interfaces for conversational question answering, text classification in over 100 languages, image classification, summarisation, emotion detection and text generation, and models can be finetuned with a single line of code.
BambooAI is an LLM-driven data analyst tool that operates in a persistent Python kernel. It is available as a web app with Docker-isolated execution, supports user-provided model keys, and is compatible with open weights models via provider or local deployment.
An intuitive GUI for Pandas DataFrames.
DAIN (Depth-Aware Video Frame Interpolation) is a CVPR 2019 research project that explicitly detects occlusion by exploring depth cues. It develops a depth-aware flow projection layer to synthesize intermediate flows that sample closer objects than farther ones. The repository provides code, pre-trained models, testing and training instructions, and a Google Colab demo.
Optimized Stable Diffusion modified to run on lower GPU VRAM.
A supplement to Copilot and Cursor - utilizes AI for batch processing of project codes.
BayesO is a Python framework for Bayesian optimization, described as a simple but essential Bayesian optimization package. It is installed via pip and is tested on Python 3.8 through 3.12. The repository includes documentation, examples and tests, and is released under the MIT License.
BayesPy is an open-source Python library that provides tools for performing Bayesian inference. It is hosted as a public repository on GitHub where users can access the code and contribute to its development.
AI-powered multi-market stock analysis with transparent BDE scoring across 73 stocks (US/HK/A-share). EU AI Act Art.50 compliant. MIT license.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
BELLE, short for Be Everyone's Large Language model Engine, is an open-source Chinese conversational large language model hosted on GitHub by LianjiaTech. The project provides relevant training code and open datasets for the model.
GPT Migrate team is working on adding for the agent.
Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
BentoML is a unified model serving framework. It enables users to build model inference APIs, job queues, LLM applications, and multi-model pipelines. The framework supports local execution and deployment via Docker.
Bernstein is an open-source, Apache-2.0 licensed AI Agents Governance and Orchestration framework. Users can write governance rules declaratively, and Bernstein enforces these rules while producing verifiable, replayable records of agent activity. The project is associated with the website bernstein.run.
Organizes AI tools and resources so people can browse and compare relevant services.
