Showing 2819 open source projects for "q-learning"

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  • 1
    CV-CUDA

    CV-CUDA

    CV-CUDA™ is an open-source, GPU accelerated library

    CV-CUDA is an open-source project that enables building efficient cloud-scale Artificial Intelligence (AI) imaging and computer vision (CV) applications. It uses graphics processing unit (GPU) acceleration to help developers build highly efficient pre- and post-processing pipelines. CV-CUDA originated as a collaborative effort between NVIDIA and ByteDance.
    Downloads: 2 This Week
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  • 2
    BackgroundMattingV2

    BackgroundMattingV2

    Real-Time High-Resolution Background Matting

    Official repository for the paper Real-Time High-Resolution Background Matting. Our model requires capturing an additional background image and produces state-of-the-art matting results at 4K 30fps and HD 60fps on an Nvidia RTX 2080 TI GPU.
    Downloads: 2 This Week
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  • 3
    Diffgram

    Diffgram

    Training data (data labeling, annotation, workflow) for all data types

    ... the activities of annotation, which produces structured data; ready to be consumed by a machine learning model. Annotation is required because raw media is considered to be unstructured and not usable without it. That’s why training data is required for many modern machine learning use cases including computer vision, natural language processing and speech recognition.
    Downloads: 2 This Week
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  • 4
    D2L.ai

    D2L.ai

    Interactive deep learning book with multi-framework code

    Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge. This open-source book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code. The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and interactive examples with self-contained code. Offers sufficient technical depth...
    Downloads: 1 This Week
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    Habitat-Lab

    Habitat-Lab

    A modular high-level library to train embodied AI agents

    ... and instantiating a diverse set of embodied agents, including commercial robots and humanoids, specifying their sensors and capabilities. Providing algorithms for single and multi-agent training (via imitation or reinforcement learning, or no learning at all as in SensePlanAct pipelines), as well as tools to benchmark their performance on the defined tasks using standard metrics.
    Downloads: 2 This Week
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  • 6
    Chronos Forecasting

    Chronos Forecasting

    Pretrained (Language) Models for Probabilistic Time Series Forecasting

    Chronos is a family of pretrained time series forecasting models based on language model architectures. A time series is transformed into a sequence of tokens via scaling and quantization, and a language model is trained on these tokens using the cross-entropy loss. Once trained, probabilistic forecasts are obtained by sampling multiple future trajectories given the historical context. Chronos models have been trained on a large corpus of publicly available time series data, as well as...
    Downloads: 2 This Week
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  • 7
    Hummingbird

    Hummingbird

    Hummingbird compiles trained ML models into tensor computation

    Hummingbird is a library for compiling trained traditional ML models into tensor computations. Hummingbird allows users to seamlessly leverage neural network frameworks (such as PyTorch) to accelerate traditional ML models. Thanks to Hummingbird, users can benefit from (1) all the current and future optimizations implemented in neural network frameworks; (2) native hardware acceleration; (3) having a unique platform to support both traditional and neural network models; and having all of...
    Downloads: 2 This Week
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  • 8
    TF2DeepFloorplan

    TF2DeepFloorplan

    TF2 Deep FloorPlan Recognition using a Multi-task Network

    TF2 Deep FloorPlan Recognition using a Multi-task Network with Room-boundary-Guided Attention. Enable tensorboard, quantization, flask, tflite, docker, github actions and google colab. This repo contains a basic procedure to train and deploy the DNN model suggested by the paper 'Deep Floor Plan Recognition using a Multi-task Network with Room-boundary-Guided Attention'. It rewrites the original codes from zlzeng/DeepFloorplan into newer versions of Tensorflow and Python.
    Downloads: 2 This Week
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  • 9
    PostgresML

    PostgresML

    The GPU-powered AI application database

    PostgresML is a complete platform in a PostgreSQL extension. Build simpler, faster, and more scalable models right inside your database. Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization...
    Downloads: 2 This Week
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  • 10
    The SpeechBrain Toolkit

    The SpeechBrain Toolkit

    A PyTorch-based Speech Toolkit

    ... in a wide variety of realistic applications. SpeechBrain provides different models for speaker recognition, including X-vector, ECAPA-TDNN, PLDA, and contrastive learning. Spectral masking, spectral mapping, and time-domain enhancement are different methods already available within SpeechBrain. Separation methods such as Conv-TasNet, DualPath RNN, and SepFormer are implemented as well. SpeechBrain provides efficient and GPU-friendly speech augmentation pipelines and acoustic features extraction.
    Downloads: 2 This Week
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  • 11
    Learn Go with Tests

    Learn Go with Tests

    Learn Go with test-driven development

    Katas are fun but they are usually limited in their scope for learning a language; you're unlikely to use goroutines to solve a kata. Another problem is when you have varying levels of enthusiasm. Some people just learn way more of the language than others and when demonstrating what they have done end up confusing people with features the others are not familiar with. This ends up making the learning feel quite unstructured and ad hoc. By far the most effective way was by slowly introducing...
    Downloads: 2 This Week
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  • 12
    marimo

    marimo

    A reactive notebook for Python

    marimo is an open-source reactive notebook for Python, reproducible, git-friendly, executable as a script, and shareable as an app. marimo notebooks are reproducible, extremely interactive, designed for collaboration (git-friendly!), deployable as scripts or apps, and fit for modern Pythonista. Run one cell and marimo reacts by automatically running affected cells, eliminating the error-prone chore of managing the notebook state. marimo's reactive UI elements, like data frame GUIs and plots,...
    Downloads: 2 This Week
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  • 13
    Feast

    Feast

    Feature Store for Machine Learning

    Feast (Feature Store) is an open source feature store for machine learning. Feast is the fastest path to manage existing infrastructure to productionize analytic data for model training and online inference. Make features consistently available for training and serving by managing an offline store (to process historical data for scale-out batch scoring or model training), a low-latency online store (to power real-time prediction), and a battle-tested feature server (to serve pre-computed...
    Downloads: 2 This Week
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  • 14
    Pytorch-toolbelt

    Pytorch-toolbelt

    PyTorch extensions for fast R&D prototyping and Kaggle farming

    A pytorch-toolbelt is a Python library with a set of bells and whistles for PyTorch for fast R&D prototyping and Kaggle farming. Easy model building using flexible encoder-decoder architecture. Modules: CoordConv, SCSE, Hypercolumn, Depthwise separable convolution and more. GPU-friendly test-time augmentation TTA for segmentation and classification. GPU-friendly inference on huge (5000x5000) images. Every-day common routines (fix/restore random seed, filesystem utils, metrics). Losses:...
    Downloads: 2 This Week
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  • 15
    GoCV

    GoCV

    Go package for computer vision using OpenCV 4 and beyond

    GoCV gives programmers who use the Go programming language access to the OpenCV 4 computer vision library. The GoCV package supports the latest releases of Go and OpenCV v4.5.4 on Linux, macOS, and Windows. Our mission is to make the Go language a “first-class” client compatible with the latest developments in the OpenCV ecosystem. Computer Vision (CV) is the ability of computers to process visual information, and perform tasks normally associated with those performed by humans. CV software...
    Downloads: 2 This Week
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  • 16
    Linux command

    Linux command

    Linux command encyclopedia search tool

    Linux command encyclopedia search tool, the content includes Linux command manual, detailed explanation, study, and collection. The current warehouse has collected more than 570 Linux commands. It is a non-profit warehouse. It has generated a web site for easy use. Currently, the site does not have any advertisements. The content includes Linux command manuals, detailed explanations, and learning. Very worthy collection of Linux command quick reference manual. The copyright belongs...
    Downloads: 2 This Week
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  • 17
    AutoKeras

    AutoKeras

    AutoML library for deep learning

    AutoKeras: An AutoML system based on Keras. It is developed by DATA Lab at Texas A&M University. The goal of AutoKeras is to make machine learning accessible to everyone. AutoKeras only support Python 3. If you followed previous steps to use virtualenv to install tensorflow, you can just activate the virtualenv. Currently, AutoKeras is only compatible with Python >= 3.7 and TensorFlow >= 2.8.0. AutoKeras supports several tasks with extremely simple interface. AutoKeras would search for the best...
    Downloads: 1 This Week
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  • 18
    Useful Scripts

    Useful Scripts

    Useful scripts for making developer's everyday life easier

    Useful scripts for making developers' everyday lives easier and happier, involving java, shell, etc. Usually useful manual operations are made into scripts for convenient use, making the daily life of development easier. Share the functions (i.e. requirements, ideas) that are commonly used but not written into scripts, and submit an Issue. The scripts of this warehouse (such as related scripts) are deployed and used in the online production environment of JavaAlibaba and other companies...
    Downloads: 2 This Week
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  • 19
    tinygrad

    tinygrad

    Deep learning framework

    This may not be the best deep learning framework, but it is a deep learning framework. Due to its extreme simplicity, it aims to be the easiest framework to add new accelerators to, with support for both inference and training. If XLA is CISC, tinygrad is RISC.
    Downloads: 1 This Week
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  • 20
    ViZDoom

    ViZDoom

    Doom-based AI research platform for reinforcement learning

    ViZDoom allows developing AI bots that play Doom using only the visual information (the screen buffer). It is primarily intended for research in machine visual learning, and deep reinforcement learning, in particular. ViZDoom is based on ZDOOM, the most popular modern source-port of DOOM. This means compatibility with a huge range of tools and resources that can be used to create custom scenarios, availability of detailed documentation of the engine and tools and support of Doom community...
    Downloads: 1 This Week
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  • 21
    Ray

    Ray

    A unified framework for scalable computing

    Modern workloads like deep learning and hyperparameter tuning are compute-intensive and require distributed or parallel execution. Ray makes it effortless to parallelize single machine code — go from a single CPU to multi-core, multi-GPU or multi-node with minimal code changes. Accelerate your PyTorch and Tensorflow workload with a more resource-efficient and flexible distributed execution framework powered by Ray. Accelerate your hyperparameter search workloads with Ray Tune. Find the best...
    Downloads: 1 This Week
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  • 22
    ChatCraft.org

    ChatCraft.org

    Developer-oriented ChatGPT clone

    Welcome to ChatCraft.org, your open-source web companion for coding with Large Language Models (LLMs). Designed with developers in mind, ChatCraft transforms the way you interact with GPT models, making it effortless to read, write, debug, and enhance your code. Whether you're exploring new designs or learning about the latest technologies, ChatCraft is your go-to platform. With a user interface inspired by GitHub, and editable Markdown everywhere, you'll feel right at home from the get-go.
    Downloads: 2 This Week
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  • 23
    Wicked Engine

    Wicked Engine

    3D engine with modern graphics

    Wicked Engine is an open-source 3D engine with modern graphics. Use this as a C++ framework for your graphics projects, a standalone 3D editor, LUA scripting or just for learning. To build Wicked Engine for Windows (10 or later), use the latest version of Visual Studio and the provided WickedEngine.sln solution file. By simply pressing F5, the Editor application will be built. There are other example projects that you can build as well within the solution. If you want to develop a C...
    Downloads: 2 This Week
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  • 24
    CTranslate2

    CTranslate2

    Fast inference engine for Transformer models

    CTranslate2 is a C++ and Python library for efficient inference with Transformer models. The project implements a custom runtime that applies many performance optimization techniques such as weights quantization, layers fusion, batch reordering, etc., to accelerate and reduce the memory usage of Transformer models on CPU and GPU. The execution is significantly faster and requires less resources than general-purpose deep learning frameworks on supported models and tasks thanks to many advanced...
    Downloads: 2 This Week
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  • 25
    elevenlabs-api

    elevenlabs-api

    elevenlabs-api is an open source Java wrapper around the ElevenLabs

    ... source code. The most realistic and versatile AI speech software, ever. Eleven brings the most compelling, rich and lifelike voices to creators and publishers seeking the ultimate tools for storytelling. Generate top-quality spoken audio in any voice and style with the most advanced and multipurpose AI speech tool out there. Our deep learning model renders human intonation and inflections with unprecedented fidelity and adjusts delivery based on context.
    Downloads: 2 This Week
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