Search Results for "training"
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38 projects for "training" with 2 filters applied:
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NVIDIA Isaac GR00T
NVIDIA Isaac GR00T N1.5 is the world's first open foundation model
...It accepts multimodal inputs—such as language and images—and uses a diffusion transformer architecture built upon vision-language encoders, enabling adaptive robot behaviors across diverse environments. It is designed to be customizable via post-training with real or synthetic data. The vision-language model remains frozen during both pretraining and finetuning, preserving language understanding and improving generalization. Streamlined MLP connection between vision encoder and LLM with added layer normalization. -
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Papers We Love
Papers from the computer science community to read and discuss
Papers We Love (PWL) is a global open source community dedicated to reading, discussing, and sharing influential computer science research papers. The repository serves as a curated directory of academic papers that have shaped the field of computing, providing a centralized location for documents that were previously scattered across various online sources. While licensing restrictions prevent hosting all papers directly, PWL offers links to their original sources and clearly marks hosted... -
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TorchQuantum
A PyTorch-based framework for Quantum Classical Simulation
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers. Researchers on quantum algorithm design, parameterized quantum circuit training, quantum optimal control, quantum machine learning, and quantum neural networks. Dynamic computation graph, automatic gradient computation, fast GPU support, batch model terrorized processing. -
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UnsupervisedMT
Phrase-Based & Neural Unsupervised Machine Translation
...Beyond the core EMNLP 2018 setup, the codebase exposes additional, optional capabilities such as multi-language training, language model pretraining with shared parameters, and adversarial training. -
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Collaborative Computing Project for NMR
Collaborative Computing Project for NMR (CCPN)
The Collaborative Computational Project for NMR (CCPN) provides tools and knowledge to maximise the impact of the biological NMR studies. The CCPN software facilitates data analysis and software integration. The project actively promotes the exchange of knowledge and provides training and best practices for the NMR community. CCPN also has a leading role in the development of a NMR data-sharing standard and coordination of NMR instrumentation proposals for RCUK and BIS. The 28 partners of CCPN jointly cover all aspects of biomolecular NMR and together they promote excellence in science in their respective fields. -
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It gives facility of collecting tweets through Twitter Streaming API w.r.t different search criteria and to save tweets in CSV and ARFF (WEKA) file formats.
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simECG is an ECG signal simulator aimed for basic training and experimenting. As a full software ECG signal generator, it's ideal for training and demonstration purposes. You can create customizable signals usually present in many pathologies.
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The General Hidden Markov Model Library (GHMM) is a C library with additional Python bindings implementing a wide range of types of Hidden Markov Models and algorithms: discrete, continous emissions, basic training, HMM clustering, HMM mixtures.
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Adaptive Gaussian Filtering
Machine learning with Gaussian kernels.
Libagf is a machine learning library that includes adaptive kernel density estimators using Gaussian kernels and k-nearest neighbours. Operations include statistical classification, interpolation/non-linear regression and pdf estimation. For statistical classification there is a borders training feature for creating fast and general pre-trained models that nonetheless return the conditional probabilities. Libagf also includes clustering algorithms as well as comparison and validation routines. It is written in C++. -
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DSOL
DSOL: A Distributed Simulation Object Library implemented in Java
...Since then, numerous papers and PhD dissertations have been developed, with applications in the fields of transportation and traffic, logistics, supply chain management, gaming and training, health care, and many others. -
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Java application for training and deploying text processing applications such as part-of-speech taggers, based on a re-implementation of Brill's algorithm in Java.
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MSTParser
MSTParser is a non-projective dependency parser that searches for maxi
MSTParser is a non-projective dependency parser that searches for maximum spanning trees over directed graphs. Models of dependency structure are based on large-margin discriminative training methods. Projective parsing is also supported. mstparser 0.5.1 is now available via Maven Central. If you use Maven as your build tool, then you can add it as a dependency in your pom.xml file: <dependency> <groupId>net.sourceforge.mstparser</groupId> <artifactId>mstparser</artifactId> <version>0.5.1</version> </dependency> -
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GPXReport
Analyze gpx files and store summary in Sqlite database
...My favorite one is gps-prune to view gps tracks on a map and make changes. However, I was missing a simple tool to store summary information about a gpx track into a database to keep track of my training efforts. That's why I created GPXReport. GPXReport is a desktop solution which is written in Java and should run on most computers. The program can read a gpx-file and calculate basics information such as: - overall and moving time - distance (km), - average and max speed - time, km uphill and downhill It automatically classifies the acitvity as hiking, MTB or race bike. ... -
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Substitutes the missing GPS information in Garmin TCX files when devices lacking a GPS receiver are used to collect training data (Garmin FR 60, heartrate and pedometer only). GpxTcxWelder integrates GPS info from a GPX v1.1 files into TCX files
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The Self-Organizing Map Maker for Education and Research. Features include 3D-visualization of the training process, various 2D and 3D map topologies, easy extensibility to additional topologies.
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CRFSharp
CRFSharp is a .NET(C#) implementation of Conditional Random Field
...It encodes model parameters by L-BFGS. Moreover, it has many significant improvement than CRF++, such as totally parallel encoding, optimizing memory usage and so on. Currently, when training corpus, compared with CRF++, CRF# can make full use of multi-core CPUs and only uses very low memory, and memory grow is very smoothly and slowly while amount of training corpus, tags increase. with multi-threads process, CRF# is more suitable for large data and tags training than CRF++ now. For example, in machine with 64GB, CRF# encodes model with more than 4.5 hundred million features quickly. -
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The project purpose is to develop an application to store and analyze workout data. Workout data in terms of duration of a training session, average pulse during the session and so forth. The focus will be on endurance training.
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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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Nen
neural network implementation in java
3-layer neural network for regression and classification with sigmoid activation function and command line interface similar to LibSVM. Quick Start: "java -jar nen.jar" -
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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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Release 1 of BroadBit Test Tool (BTT) offers the power and efficiency of TTCN testing; all software testing engineers can add this platform independent tool it into their toolbox. Training support is available through training@broadbit.com.
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D-finder is a bioinformatic search algorithm for the identification of D-sites in JNK interacting proteins. The algorithm is a combination of pattern matching and a hidden markov model (HMM) based on a training set of known JNK D-sites.
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A simple dual n-back trainer, written in C++, and using SDL (and only SDL). Designed to mimic the simple training scheme outlined in Jaeggi's paper on developing working memory, it features a professional voice artist for the letter sounds.
