Best AI tools for< Anger Management >

Lily is an AI wellness partner that offers free confidential help anytime, anywhere. It provides voice-activated therapy sessions for various wellness needs such as anxiety, stress, self-esteem, personal growth, and more. Lily is designed to be a digital meditation guide, spiritual advisor, mental health advocate, and friend, all in one. Users can interact with Lily through voice commands, making it a convenient and accessible tool for wellness support.

Wale.ai is an AI co-pilot designed for venture capital investors. It automates the analysis and sentiment tracking of startup news, providing comprehensive sentiment analysis of positive and negative mentions. The platform offers advanced AI analytics, seamless integration with various tools, and delivers actionable insights to enhance portfolio or pipeline management. Founded by Sergey Mosunov and Valentin Riabtsev, Wale.ai is a data-driven VC tool that helps users stay informed and make informed investment decisions.

Rosebud is an AI journaling application designed for personal growth. It offers a private space to navigate life's challenges, gain actionable insights, and track progress. With over 80 million words journaled, Rosebud provides personalized questions, real-time feedback, and organizes thoughts into themes and topics for exploration. The application includes popular journal templates like Positive Psychology, Gratitude Journal, and Dream Journal, all brought to life with AI technology. Users report notable improvements in various areas such as depression, anxiety, anger, and loneliness after just 7 days of using Rosebud.

Angel Match is a comprehensive investor database platform that connects startups with over 110,000 angel investors and venture capitalists. It offers features such as fundraising templates, investor outreach tools, and pitch deck database. Users can search, filter, and track investor engagements, saving time and expanding their network. The platform provides diverse investor profiles, up-to-date data, and industry-specific matching to help startups find the right investors for their business.

Angel AI is an AI application that offers users the opportunity to interact with AI companions, ranging from supportive girlfriends to inspiring life coaches. Users can engage in intimate conversations, request photos, and explore their desires in a private and secure environment. The application leverages advanced machine learning and deep learning technology to create realistic and personalized interactions with AI partners, allowing users to craft unique romantic narratives and experience personal growth through their relationships.

Angel AI is an innovative artificial intelligence tool designed to assist users in various tasks by leveraging advanced algorithms and machine learning techniques. The application offers a user-friendly interface and a wide range of features to enhance productivity and efficiency. With Angel AI, users can automate repetitive tasks, analyze data, generate insights, and make informed decisions. Whether you are a business professional, student, or researcher, Angel AI can streamline your workflow and help you achieve your goals effectively.

8VDX is an AI application that offers fine-tuned AI models for credit funds, empowering users to make data-driven decisions in the realm of credit investing. The platform enhances speed, accuracy, and strategic depth across various financial instruments like bonds, private credit, and CLOs. By leveraging AI technology, 8VDX streamlines the investment analysis process, automates bond screening, and provides continuous learning from surveillance to optimize investment strategies.

Landscape is an AI operating system designed for venture capital firms and investors. It provides advanced analytics and insights to help users make data-driven investment decisions. The platform leverages machine learning algorithms to analyze market trends, identify potential investment opportunities, and optimize portfolio performance. With Landscape, users can streamline their investment process, gain a competitive edge, and maximize returns.

Revrag.ai is an AI tool designed to automate sales processes for revenue teams. The application features AI agents like Emma, an AI BDR, and Kristi, an inbound sales AI agent, to help scale sales and revenue by prospecting, crafting personalized emails, and booking meetings. With features like lead scoring, real-time research, and personalized communication, Revrag.ai aims to streamline sales operations and improve outreach efficiency.

Platvix is an AI-powered platform that connects startups with investors. It offers a range of features to help startups find the right investors and to help investors find the most promising startups. Platvix's matchmaking engine uses AI to pair startups with investors based on their compatibility. The platform also provides investors with detailed insights into startup performance metrics and market trends. Platvix is designed to address the challenges that startups and investors face in connecting with each other. It provides a secure and transparent platform for startups to raise funding and for investors to find new investment opportunities.

Jesse Zhang's personal website showcases his background in engineering, particularly in web development, AI/ML, and mathematics. He highlights his education at Harvard University and internships at renowned companies like Citadel, Google, and Intel. Zhang also mentions his entrepreneurial ventures, including founding Lowkey, which was acquired by Niantic, and his current work on a new company. The website features various projects he has worked on, such as real-time multiplayer implementations of Camel Up and Bananagrams, a financial data visualization tool, and a demo of Zero-Knowledge proofs in the game Mastermind. Additionally, Zhang shares his interest in writing math contest problems and his involvement in angel investing through Sequoia Scouts and Neo.

DAILA is a unified interface for AI systems in decompilers, supporting various decompilers and AI systems. It allows users to utilize local and remote LLMs, like ChatGPT and Claude, and local models such as VarBERT. DAILA can be used as a decompiler plugin with GUI or as a scripting library. It also provides a Docker container for offline installations and supports tasks like summarizing functions and renaming variables in decompilation.

**Promptulate** is an AI Agent application development framework crafted by **Cogit Lab** , which offers developers an extremely concise and efficient way to build Agent applications through a Pythonic development paradigm. The core philosophy of Promptulate is to borrow and integrate the wisdom of the open-source community, incorporating the highlights of various development frameworks to lower the barrier to entry and unify the consensus among developers. With Promptulate, you can manipulate components like LLM, Agent, Tool, RAG, etc., with the most succinct code, as most tasks can be easily completed with just a few lines of code. 🚀

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Awesome-Segment-Anything is a powerful tool for segmenting and extracting information from various types of data. It provides a user-friendly interface to easily define segmentation rules and apply them to text, images, and other data formats. The tool supports both supervised and unsupervised segmentation methods, allowing users to customize the segmentation process based on their specific needs. With its versatile functionality and intuitive design, Awesome-Segment-Anything is ideal for data analysts, researchers, content creators, and anyone looking to efficiently extract valuable insights from complex datasets.

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

Sonic 3 A.I.R. is a non-profit fan game project that provides source code including dependencies for "Sonic 3 - Angel Island Revisited," a fan-made remaster of Sonic 3 & Knuckles. The project is split into several different projects, including external dependencies, librmx libraries, Lemonscript language library, Oxygen Engine, and S3AIR-specific C++ code. To build for different platforms, refer to the readme files in the respective subdirectories of "Oxygen/sonic3air/build." External libraries and code used in this project include SDL2, libogg & libvorbis, zlib, libcurl, jsoncpp, GLEW, Sound chip emulation related code from Genesis Plus GX, Discord Game SDK, xBRZ upscaler shader code, and Hqx upscaler shader code & data files.

AnglE is a library for training state-of-the-art BERT/LLM-based sentence embeddings with just a few lines of code. It also serves as a general sentence embedding inference framework, allowing for inferring a variety of transformer-based sentence embeddings. The library supports various loss functions such as AnglE loss, Contrastive loss, CoSENT loss, and Espresso loss. It provides backbones like BERT-based models, LLM-based models, and Bi-directional LLM-based models for training on single or multi-GPU setups. AnglE has achieved significant performance on various benchmarks and offers official pretrained models for both BERT-based and LLM-based models.

Habitat-Lab is a modular high-level library for end-to-end development in embodied AI. It is designed to train agents to perform a wide variety of embodied AI tasks in indoor environments, as well as develop agents that can interact with humans in performing these tasks.

Habitat-Sim is a high-performance physics-enabled 3D simulator with support for 3D scans of indoor/outdoor spaces, CAD models of spaces and piecewise-rigid objects, configurable sensors, robots described via URDF, and rigid-body mechanics. It prioritizes simulation speed over the breadth of simulation capabilities, achieving several thousand frames per second (FPS) running single-threaded and over 10,000 FPS multi-process on a single GPU when rendering a scene from the Matterport3D dataset. Habitat-Sim simulates a Fetch robot interacting in ReplicaCAD scenes at over 8,000 steps per second (SPS), where each ‘step’ involves rendering 1 RGBD observation (128×128 pixels) and rigid-body dynamics for 1/30sec.

This repository is a curated list of papers related to 3D tasks empowered by Large Language Models (LLMs). It covers tasks such as 3D understanding, reasoning, generation, and embodied agents. The repository also includes other Foundation Models like CLIP and SAM to provide a comprehensive view of the area. It is actively maintained and updated to showcase the latest advances in the field. Users can find a variety of research papers and projects related to 3D tasks and LLMs in this repository.

Awesome-Efficient-LLM is a curated list focusing on efficient large language models. It includes topics such as knowledge distillation, network pruning, quantization, inference acceleration, efficient MOE, efficient architecture of LLM, KV cache compression, text compression, low-rank decomposition, hardware/system, tuning, and survey. The repository provides a collection of papers and projects related to improving the efficiency of large language models through various techniques like sparsity, quantization, and compression.

This repository, named Awesome-Embodied-Agent-with-LLMs, is a curated list of research related to Embodied AI or agents with Large Language Models. It includes various papers, surveys, and projects focusing on topics such as self-evolving agents, advanced agent applications, LLMs with RL or world models, planning and manipulation, multi-agent learning and coordination, vision and language navigation, detection, 3D grounding, interactive embodied learning, rearrangement, benchmarks, simulators, and more. The repository provides a comprehensive collection of resources for individuals interested in exploring the intersection of embodied agents and large language models.

WDoc is a powerful Retrieval-Augmented Generation (RAG) system designed to summarize, search, and query documents across various file types. It supports querying tens of thousands of documents simultaneously, offers tailored summaries to efficiently manage large amounts of information, and includes features like supporting multiple file types, various LLMs, local and private LLMs, advanced RAG capabilities, advanced summaries, trust verification, markdown formatted answers, sophisticated embeddings, extensive documentation, scriptability, type checking, lazy imports, caching, fast processing, shell autocompletion, notification callbacks, and more. WDoc is ideal for researchers, students, and professionals dealing with extensive information sources.

This repository is a curated list of awesome large AI models in audio signal processing, focusing on the application of large language models to audio tasks. It includes survey papers, popular large audio models, automatic speech recognition, neural speech synthesis, speech translation, other speech applications, large audio models in music, and audio datasets. The repository aims to provide a comprehensive overview of recent advancements and challenges in applying large language models to audio signal processing, showcasing the efficacy of transformer-based architectures in various audio tasks.

EmbodiedScan is a holistic multi-modal 3D perception suite designed for embodied AI. It introduces a multi-modal, ego-centric 3D perception dataset and benchmark for holistic 3D scene understanding. The dataset includes over 5k scans with 1M ego-centric RGB-D views, 1M language prompts, 160k 3D-oriented boxes spanning 760 categories, and dense semantic occupancy with 80 common categories. The suite includes a baseline framework named Embodied Perceptron, capable of processing multi-modal inputs for 3D perception tasks and language-grounded tasks.

Identify your sources of fear and anger and convert those emotions into concrete next steps. Tested and approved by the real Matt Mochary!

Your angler and water data expert.

A therapeutic GPT agent, focusing on processing deeply emotional past events.

I'm Neon Nostlard, a prophetic GPT with angelic abilities.

Business Angel provides expert startup guidance: funding, growth hacks, and pitch advice. Navigate the startup ecosystem, from seed to scale. Essential for entrepreneurs aiming for success. Master your strategy and launch with confidence. Your startup journey begins here!

The grumpy bavarian Angel with a beer Humor

Guides on fishing, covering techniques, tides, lunar phases, weather, and local fish activity.