Open-Source Frontier Voice AI
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JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
- deep-learning
- platform
- pytorch
An Industrial-Level Controllable and Efficient Zero-Shot Text-To-Speech System
- bigvgan
- cross-lingual
- indextts
- text-to-speech
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
- audio-generation
- gpt-4o
- text-to-speech
- tts
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
- nlp
- pre-trained-model
- unilm
- minilm
☁️ Build multimodal AI applications with cloud-native stack
- neural-search
- cloud-native
- deep-learning
- machine-learning
The absolute trainer to light up AI agents.
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
- ai-research
- autonomous-agent
- claude-code
- codex
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
- agent
- ai
- automation
- data-mining
Talk to any LLM with hands-free voice interaction, voice interruption, and Live2D avatar running locally across platforms
- ai-vtuber
- ai-waifu
- ai
- neuro-sama
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
- gpt-2
- adaptation
- language-model
- gpt-3
One portable memory layer for every AI agent: local-first, Markdown-native, user-owned, and self-evolving across apps, tools, and workflows.
- agentic-ai
- ai
- chats
- llm
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
- bert
- sentence-encoding
- deep-learning
- clip-model
Use Microsoft Edge's online text-to-speech service from Python WITHOUT needing Microsoft Edge
- tts
- speech-synthesis
- text-to-speech
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
- neocortex
- artificial-intelligence
- machine-intelligence
- hierarchical-temporal-memory
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
- cntk
- visualization
- tensorflow
- model-converter
A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features :fire:
- opencv
- multithreading
- python
- video-processing
[验证码识别-训练] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.
- captcha-recognition
- tensorflow-tutorials
- ocr
- tensorflow
This package contains deep learning models and related scripts for RoseTTAFold
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
- deep-learning
- computer-vision
- speech-recognition
- 3d-convolutional-network
(IROS 2020, ECCVW 2020) Official Python Implementation for "3D Multi-Object Tracking: A Baseline and New Evaluation Metrics"