D

Deep Learning

🔧🔗https://github.com/facebookresearch/habitat-lab

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

🔧🔗https://github.com/poloclub/transformer-explainer

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

https://github.com/mlc-ai/web-llm High-performance In-browser LLM Inference Engine

🔧🔗https://github.com/manycore-research/cstr [arXiv prepreint] Deep Learning Assisted Optimization for 3D Reconstruction from Single 2D Line Drawings

🔧🔗https://github.com/speechbrain/speechbrain.github.io The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

🔧🔗https://github.com/lutzroeder/netron Visualizer for neural network, deep learning and machine learning models

🔧🔗https://github.com/poloclub/diffusion-explainer

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion

🔧🔗https://github.com/poloclub/cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

https://github.com/coqui-ai/TTS 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production