🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
- python
- text-to-speech
- deep-learning
- speech
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🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
Bring portraits to life!
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
Ongoing research training transformer models at scale
Stable Diffusion with Core ML on Apple Silicon
A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.
[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer
A MNIST-like fashion product database. Benchmark :point_down:
The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
InstantID: Zero-shot Identity-Preserving Generation in Seconds 🔥
[CVPR 2024] Official repository for "MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model"
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Hackable and optimized Transformers building blocks, supporting a composable construction.
Implementation of Nougat Neural Optical Understanding for Academic Documents
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.
A library of reinforcement learning components and agents
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Accelerated deep learning R&D
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.
A collection of research papers on decision, classification and regression trees with implementations.