🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
- python
- text-to-speech
- deep-learning
- speech
47,133 repositories indexed
1–21 of 21 · Most stars
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
Agentic Chat Interface directly in Neovim with ACP providers from Claude-Code, Gemini, Codex, OpenCode, and Cursor-agent
Let AI agents message, watch, and spawn each other across terminals. Claude Code, Codex, Antigravity CLI, Cursor CLI, OpenCode, Kilo, Pi, Kimi
LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation
The missing linter and lsp for AI coding assistants. Validate CLAUDE.md, AGENTS.md, SKILL.md, hooks, MCP. Plugin for all major IDEs included, with autofixes.
Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
Deep and Machine Learning for Microscopy
A toolkit for AI agents used for development on Triton-Ascend for Ascend NPU
TranslatedDeterministic HTML-to-MP4 renderer: seek to t, screenshot, encode. No framework, no build step, no GPU. Make videos frame by frame with code: HTML / Canvas animation → MP4 / GIF / transparent layer
Learning cell communication from spatial graphs of cells
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Sync MCP servers, Skills, Agents & Commands across Claude Code, Cursor, OpenCode, Codex. One config, all tools.
AI-Drived end-to-end test platform
Sandboxed devcontainer for running Claude Code, Codex, and OpenCode in bypass / auto-approve mode.
🦫 Privacy-first virtualization layer for LLM context with MCP protocol for tool access.