Search Results for "specialized" - Page 5
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Showing 123 open source projects for "specialized"
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Deep Learning Papers Reading Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn
Deep Learning Papers Reading Roadmap is a widely known curated reading plan for deep learning that helps newcomers and practitioners navigate the vast literature in a structured and intentional way. It is built around several guiding principles: moving from outline to detail, from older foundational papers to state-of-the-art work, and from generic to more specialized areas while keeping a focus on impactful contributions. The roadmap organizes papers into categories such as fundamentals, convolutional networks, sequence models, unsupervised learning, generative models, optimization, and application areas like computer vision or NLP. For each section, it suggests an order that lets readers gradually build intuition and then dive deeper into more advanced or recent topics. ... -
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Machine Learning Financial Laboratory
MlFinLab helps portfolio managers and traders
...Many of the algorithms implemented in the library are based on concepts introduced in advanced quantitative finance literature and peer-reviewed research. The library also includes tools for constructing specialized financial data structures, generating predictive features, and evaluating trading strategies through backtesting. Its architecture emphasizes reproducibility, robust testing, and well-documented code so that researchers and practitioners can reliably experiment with financial machine learning models. -
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ML workspace
All-in-one web-based IDE specialized for machine learning
All-in-one web-based development environment for machine learning. The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard) perfectly configured, optimized, and integrated. ... -
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VideoPose3D
Efficient 3D human pose estimation in video using 2D keypoint
...It builds on top of convolutional and temporal networks that map 2D joint coordinates over time to consistent 3D skeletons, enabling robust motion capture without specialized sensors. The model is trained on large motion capture datasets and can generalize well to unseen environments by leveraging temporal context for smoothing and error correction. By using only 2D detections (such as those from OpenPose or Detectron), it enables markerless 3D pose estimation with relatively lightweight computational requirements. ... -
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Higher
higher is a pytorch library
higher is a specialized library designed to extend PyTorch’s capabilities by enabling higher-order differentiation and meta-learning through differentiable optimization loops. It allows developers and researchers to compute gradients through entire optimization processes, which is essential for tasks like meta-learning, hyperparameter optimization, and model adaptation. -
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tootbot.py
A small python 3.x script to replicate tweets on a mastodon account
TootBot A small python 3.x script to replicate tweets on a mastodon account, including links and images. Forked from https://github.com/cquest/tootbot Specialized in RSS feed, in particular from Nitter (https://nitter.net - https://github.com/zedeus/nitter) It gets the tweets from RSS available at https://nitter.net, then does some cleanup on the content: twitter tracking links (t.co) are dereferenced twitter hosted pictures are retrieved and uploaded to mastodon the tweets from RSS source's are joined based on the domain name to avoid duplicates It can also toot RSS/atom feeds (see cron-example.sh). ... -
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ELI5
A library for debugging/inspecting machine learning classifiers
...It supports several popular machine learning frameworks including scikit-learn, XGBoost, LightGBM, CatBoost, and Keras. The library allows users to inspect model weights, analyze decision trees, and compute permutation feature importance for black-box models. It also provides specialized tools such as TextExplainer, which can highlight important words in text classification tasks to explain why a model produced a particular prediction. Additionally, the library integrates explanation algorithms such as LIME to interpret predictions from arbitrary machine learning models. -
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ParamIT
a Toolset for Molecular Mechanical Force Field Parameterization
...The developed toolkit helps the researchers in following ways: 1) automating the creation of multiple input files for quantum and molecular mechanics programs, 2) automating the output analysis and 3) substitute the use of full MM programs with a faster specialized one. The developed tools include: 1) generator of molecule-water complexes with graphical user interface (GUI), 2) semi-automatic frequency analysis using symbolic potential energy distribution matrix and comparison of optimized internal coordinates, 3) GUI for charge fitting with three modes: manual, Monte-Carlo sampling or brute force, and 4) GUI for dihedral terms fitting. ... -
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X-JHBuild is a framework for working with multiple repositories. It makes use of JHBuild and is specialized for working with modules that use Git as VCS.
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Spatial Media
Specifications and tools for 360º video and spatial audio
...Creators use it to prepare 360/VR180 assets for upload so services know whether a video is monoscopic, top-bottom stereo, or side-by-side, and whether ambisonic audio is present. By separating metadata handling from encoding, the tools slot into existing editing/export workflows without requiring specialized NLE support. They help ensure assets play back with the right projection, field of view, and head-tracked audio in compliant players. For archive and validation use cases, the scripts can also read existing flags to diagnose why a video isn’t being recognized as immersive. -
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Zhao
A compilation of "The Princely Party Relationship Network"
zhao is a repository that consolidates research, data, and insights related to Zhao, which is likely an individual’s research collection, notes, or curated resources on deep learning, AI, or computational topics (name and content context suggest specialized study). The project may include code examples, experiment results, references to academic papers, mathematical notes, and supporting scripts to explore specific ML methods, benchmarks, or theoretical findings. Because it aggregates content associated with Zhao, the repository functions as a personal or shared knowledge base for readers who want insight into a body of research rather than a traditional software library. ... -
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dpanalyzer
postprocessing tool for Project Gutenberg Distributed Proofreaders
Specialized tool for PostProcessors of books produced by Project Gutenberg Distributed Proofreaders. Parses the markup structure of a project file out of the formatting rounds; reports about the text structure found, and identifies markup errors. Planned future features: generation of normalized dp output by rejoining split paragraphs and moving around footnotes, renumbering of pages; conversion to basic LaTeX and basic HTML markup for further processing. -
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z-utalm
Unified Test and Logging layer for multiple programming languages
Modern software systems and application are commonly written in multiple languages, include scripting engines, and are frequently build on multiple specialized frameworks and middleware for a considerable diversity of runtime environments. The latest influencing update in development paradigm is the application of multicore processors. This projects is aimed to unify the required trace and logging output and integrate into debugging environments. The target is to provide general development, test, and production support of software environments based on multiple programming languages for distributed multicore environments. -
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CAPLET
GDS visualization and parallelized capacitance extraction
Project CAPLET is a capacitance extraction toolkit that extract capacitance at field-solver accuracy. CAPLET can directly handle GDS2 layout files into capacitance matrices in both GUI and command line interfaces. The internal extraction algorithm is specialized for VLSI interconnect structures but not exclusively, as long as the structure is of Manhattan geometry and embedded in a uniform dielectric material. -
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Nested Editor
Specialized editor for structured documents.
Nested is a specialized editor focused on creating structured documents such as reports, publications, presentations, books, etc. It is designed to help the user concentrate on writing content without been distracted by format or markup. It offers a rich WYSIWYM interface where the user writes plain text with a lightweight markup language. -
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BRAYTE
Bruno's RAY Tracing Engine
Yet another ray-tracer. Mixing Python, CUDA and a specialized compact SDL (Scene Description Language). -
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A sequencer specialized for extended just intonation tuning systems. Rationale does not use scales, only collections of notes related by frequency ratio, infinitely transposable. Any rational frequency ratio can be an interval, but no tempered tunings.
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A module for python/pygame used for typesetting text to the screen. It provides specialized functions for scrolling text, pages of text, selectable text, and an on screen text editor.
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wxPropertyGrid is a specialized grid for editing properties such as strings, numbers, flagsets, fonts, and colours. Use with wxWidgets 2.6.1 or later.
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This is a software tool that automates the process of benchmarking high performance computer clusters by auto analyzing the hardware of the cluster and configuring and compiling specialized benchmarks (HPC Challenge, IOzone, Netperf)
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...This is a basic a GUI text editor, edits simple text files. Useful for making quick edits to files. A small text editor without many advanced features, however it may evolve into having specialized features.
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Freeode
Solve Differential Equations
Freeode is a compiler for the SIML programming language. It is a specialized language to solve differential equations. The compiler creates a python program that uses Numpy and Scipy to do the numerical computations. -
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Mellum-4b-base
JetBrains’ 4B parameter code model for completions
...While the base model is not fine-tuned for downstream tasks, it is designed to be easily adapted through supervised fine-tuning (SFT) or reinforcement learning (RL). Benchmarks on RepoBench, SAFIM, and HumanEval demonstrate its competitive performance, with specialized fine-tuned versions for Python already showing strong improvements.
