Instant voice cloning by MIT and MyShell. Audio foundation model.
- text-to-speech
- tts
- voice-clone
- zero-shot-tts
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Instant voice cloning by MIT and MyShell. Audio foundation model.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
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
An elegant PyTorch deep reinforcement learning library.
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
TensorFlow (Python API) implementation of Neural Style
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Clean PyTorch implementations of imitation and reward learning algorithms
ROS package for dynamic obstacle avoidance for ground robots trained with deep RL
Official Repository of paper OmniReasoning: Pushing the Limits of Audio-Visual Joint Reasoning
PDF extraction that audits its own output — and certifies any other extractor's, catching pages they silently dropped. Verify signed manifests offline: free, MIT, no account. 0.903 on opendataloader-bench, #2 of 8 engines. 7-tool MCP server.
A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env