Search Results for "training"
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39 projects for "training" with 2 filters applied:
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AudioCraft
Audiocraft is a library for audio processing and generation
AudioCraft is a PyTorch library for text-to-audio and text-to-music generation, packaging research models and tooling for training and inference. It includes MusicGen for music generation conditioned on text (and optionally melody) and AudioGen for text-conditioned sound effects and environmental audio. Both models operate over discrete audio tokens produced by a neural codec (EnCodec), which acts like a tokenizer for waveforms and enables efficient sequence modeling. -
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SCAIL
Towards Studio-Grade Character Animation via In-Context Learning of 3D
...Given its listing alongside other ZAI projects like speech recognition and text-to-speech systems, SCAIL likely emphasizes scalable, composable AI learning frameworks that support researchers and practitioners in experimenting with learning algorithms, datasets, and model components. The repository structure suggests a focus on flexibility and extensibility, with potential integration into other ZAI tooling for training or analysis. -
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Habitat-Sim
A flexible, high-performance 3D simulator for Embodied AI research
Habitat-Sim is a high-performance 3D simulator for embodied AI research, designed to run photorealistic indoor environments at thousands of frames per second. It offers GPU-accelerated rendering and a flexible sensor suite—RGB, depth, semantic segmentation, and more—so agents can perceive and act in realistic scenes. The engine is written in C++ with Python bindings and integrates physics, navigation meshes, and shortest-path planners to support tasks like point-goal navigation,... -
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AnimateDiff
Plug-n-play module turning text-to-image models into animation
AnimateDiff is an open-source project designed to enhance text-to-image diffusion models by adding animation capabilities. It allows users to turn static images generated by popular text-to-image models into animated sequences without requiring additional model training. This plug-and-play tool is compatible with a wide range of community models and facilitates the generation of animation directly from pre-existing text-to-image models. It supports various configurations to create animations with different visual styles, providing flexibility and ease of use for developers and artists interested in exploring dynamic, AI-generated animations. -
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Video Pre-Training
Learning to Act by Watching Unlabeled Online Videos
The Video PreTraining (VPT) repository provides code and model artifacts for a project where agents learn to act by watching human gameplay videos—specifically, gameplay of Minecraft—using behavioral cloning. The idea is to learn general priors of control from large-scale, unlabeled video data, and then optionally fine-tune those priors for more goal-directed behavior via environment interaction. The repository contains demonstration models of different widths, fine-tuned variants (e.g. for... -
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CWStudio is a portable almost library-independent and computationally efficient generator of CW signals for telegraphy training purposes. It can create a sound with maximum similarity to the real air, simulating many difficulties.
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VAD
Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM
This repository is a voice activity detection (VAD) toolkit that implements multiple models (DNN, bDNN, LSTM, ACAM) for detecting speech versus non-speech in audio. It also provides a recorded dataset in varied real-world settings (e.g. bus stop, construction site, park, room) with ground truth labeling. Acoustic feature extraction (multi-resolution cochleagram, MRCG). Post-processing modules (e.g. smoothing, thresholds). The toolkit supports both MATLAB and Python/TensorFlow components (for... -
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TimeSformer
The official pytorch implementation of our paper
...Because the attention is global across frames, TimeSformer can reason about dependencies across long time spans, not just local neighborhoods. The official implementation in PyTorch provides configurations, pretrained models, and training scripts that make it straightforward to evaluate or fine-tune on video datasets. TimeSformer was influential in showing that pure transformer architectures—without convolutional backbones—can perform strongly on video classification tasks. Its flexible attention design allows experimenting with different factoring (spatial-then-temporal, joint, etc.) to trade off compute, memory, and accuracy. -
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Linux-Intelligent-Ocr-Solution
Easy-OCR solution and Tesseract trainer for GNU/Linux
...A Tesseract Trainer GUI is also shipped with this package. Forum : https://groups.google.com/forum/#!forum/lios Video Tutorial : https://www.youtube.com/playlist?list=PLn29o8rxtRe1zS1r2-yGm1DNMOZCgdU0i Tesseract Training Tutorial (beta) : https://www.youtube.com/watch?v=qLpCld4cdtk Source Code Github : https://github.com/Nalin-x-Linux/lios-3 Gitlab : https://gitlab.com/Nalin-x-Linux/lios-3 User guide is available in download page -
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tonopol-trainer
Musik Trainer
Analyse von Songs (mp3,wav) Unterteilung der Songelemente Training von Abschnitten langsam - schell Trainig ganzer Sets mittels Playlist -
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Video Nonlocal Net
Non-local Neural Networks for Video Classification
...This formulation improves action recognition and spatiotemporal reasoning, especially for classes requiring context beyond short temporal windows. The repo provides training recipes and models for standard datasets, as well as ablations that show how many non-local blocks to insert and at which stages. Efficient implementations keep memory and compute manageable so the blocks can be added without rewriting the entire backbone. The result is a practical, drop-in mechanism for upgrading purely local video models into context-aware networks with strong benchmark performance. -
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Training Image Operators from Samples
Tools to train Image Operators automatically from a set of samples.
TRIOS - Training Image Operators from Samples is a set of tools to bring Image Processing closer to scientists in general. It is capable of estimating an operator between two images using only pairs of samples that contain an input image and the desired output. The operator is saved to a file and can be applied to any image. -
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ScoreDate
ScoreDate is a software to learn music reading and ear training
ScoreDate is your date with the music ! It is an open source software written in Java that helps musicians to learn music reading. It also helps you with ear training. It is suitable for any skill, from beginners to professional users. From slow training to first sight reading. -
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InPitch is a simple and easy-to-use program to aid in training your ear to recognize musical notes (i.e. to develop "perfect pitch" or "absolute pitch").
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GNU Solfege is *free* ear training software written in Python 3.4 using the Gtk+ 3 toolkit. The program is designed to be easily extended with lesson files (data files), so the user can create new exercises.
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Gamera is a framework for the creation of structured document analysis applications by domain experts. It combines a programming library with GUI tools for the training and interactive development of recognition systems.
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This is a MATLAB implementation of inverse compositional Active Appearance Models (AAMs), as described in the "Active Appearance Models Revisited" paper by Iain Matthews and Simon Baker.
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Pace & Place is an application for managing and visualizing GPS data and sports training data. It empowers the user to track training events and combine them with geographic data. Map, waypoint, track visualizations and geo-referencing of photos.
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"Ugo Capeto's Ear Training Scale Note" is a java program that trains your ear to recognize a (mystery) note among the notes of a given scale (major or minor). Extract rar archive file and double-click the jar file (needs java).
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GRANULE is a flashcards program based on Leitner cardfile methodology for learning new words. It features long-term memory training capabilities with scheduling, integrated pictures, sound, and full-screen mode.
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"Ugo Capeto's Ear Training Lower Higher" is a java program that trains your ear to recognize if a note is lower or higher than the previous one in a two-note sequence. Extract rar archive file and double-click the jar file (needs java).
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Foad is an open source software which receive an EKG Signal from scanner, WFDB database or heart sensors. Finding patient disease started by taking Fourier transform (FFT) from input signal and extract a single cycle. Based on some heuristic algorithm the most important feature like P , Q , R , S , T captured and feed to trained neural network. and so the final decision made by CNN library. As mentioned before this software also capable do some image processing on scanned paper to lower...
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A java webstart application that attempts to create cubism style artwork through the layering of semi-transparent polygons via a training feedback loop. Produces increasingly realistic work though hill climbing.
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GPU library for simple development of OpenGL-based GPGPU applications, offscreen rendering and shading techniques.
