Search Results for "numpy python 2.7" - Page 4
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Showing 382 open source projects for "numpy python 2.7"
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Peroxide
Rust numeric library with high performance and friendly syntax
Rust numeric library contains linear algebra, numerical analysis, statistics and machine learning tools with R, MATLAB, Python-like macros. Peroxide uses a 1D data structure to represent matrices, making it straightforward to integrate with BLAS (Basic Linear Algebra Subprograms). This means that Peroxide can guarantee excellent performance for linear algebraic computations by leveraging the optimized routines provided by BLAS. For users familiar with numerical computing libraries like NumPy, MATLAB, or R, Rust's syntax might seem unfamiliar at first. ... -
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Flower
Flower: A Friendly Federated Learning Framework
A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language. Federated learning systems vary wildly from one use case to another. Flower allows for a wide range of different configurations depending on the needs of each individual use case. Flower originated from a research project at the University of Oxford, so it was built with AI research in mind. Many components can be extended and overridden to build new... -
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PennyLane
A cross-platform Python library for differentiable programming
...Quantum circuits can be set up to interface with either NumPy, PyTorch, JAX, or TensorFlow, allowing hybrid CPU-GPU-QPU computations. The same quantum circuit model can be run on different devices. Install plugins to run your computational circuits on more devices, including Strawberry Fields, Amazon Braket, Qiskit and IBM Q, Google Cirq, Rigetti Forest, and the Microsoft QDK. -
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Permafrost Engine
An OpenGL RTS game engine written in C
...The engine is tailored specifically for large-scale RTS gameplay, supporting huge maps, efficient batched rendering, hierarchical flow-field pathfinding, formation movement, boids-style steering behaviors, and GPU-accelerated crowd simulation. It integrates tightly with Python 2.7 for scripting, exposing engine internals to Python and even allowing serialization and restoration of the entire Python interpreter state for robust save/load systems. -
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IVY
The Unified Machine Learning Framework
Take any code that you'd like to include. For example, an existing TensorFlow model, and some useful functions from both PyTorch and NumPy libraries. Choose any framework for writing your higher-level pipeline, including data loading, distributed training, analytics, logging, visualization etc. Choose any backend framework which should be used under the hood, for running this entire pipeline. Choose the most appropriate device or combination of devices for your needs. DeepMind releases an... -
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Jittor
Jittor is a high-performance deep learning framework
...Jittor also contains a wealth of high-performance model libraries, including image recognition, detection, segmentation, generation, differentiable rendering, geometric learning, reinforcement learning, etc. The front-end language is Python. Module Design and Dynamic Graph Execution is used in the front-end, which is the most popular design for deep learning framework interface. The back-end is implemented by high-performance languages, such as CUDA, C++. Jittor'op is similar to NumPy. Let's try some operations. We create Var a and b via operation jt.float32, and add them. ... -
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Eris
A NodeJS Discord library
A Node.js wrapper for interfacing with Discord. You will need NodeJS 10.4+. If you need voice support you will also need Python 2.7 and a C++ compiler. Create a directory for your bot, and change to that directory in your command line. If you want to be more updated (at the expense of stability), you can install the beta builds instead. Eris supports a few optional libraries that could potentially improve bot performance but may require additional dependencies. -
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Flax
Flax is a neural network library for JAX
Flax is a flexible neural-network library for JAX that embraces functional programming while offering ergonomic module abstractions. Its design separates pure computation from state by threading parameter collections and RNGs explicitly, enabling reproducibility, transformation, and easy experimentation with JAX transforms like jit, pmap, and vmap. Modules define parameterized computations, but initialization and application remain side-effect free, which pairs naturally with JAX’s staging... -
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TensorBoardX
tensorboard for pytorch (and chainer, mxnet, numpy, etc.)
The SummaryWriter class provides a high-level API to create an event file in a given directory and add summaries and events to it. The class updates the file contents asynchronously. This allows a training program to call methods to add data to the file directly from the training loop, without slowing down training. TensorboardX now supports logging directly to Comet. Comet is a free cloud based solution that allows you to automatically track, compare and explain your experiments. It adds a... -
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JDF.jl
Julia DataFrames serialization format
...JDF.jl is a pure-Julia solution and there are a lot of ways to do nifty things like compression and encapsulating the underlying struture of the arrays that's hard to do in R and Python. E.g. Python's numpy arrays are C objects, but all the vector types used in JDF are Julia data types. -
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Faiss
Library for efficient similarity search and clustering dense vectors
...It contains algorithms that search in sets of vectors of any size, up to ones that possibly do not fit in RAM. It also contains supporting code for evaluation and parameter tuning. Faiss is written in C++ with complete wrappers for Python/numpy. Some of the most useful algorithms are implemented on the GPU. It is developed by Facebook AI Research. Faiss contains several methods for similarity search. It assumes that the instances are represented as vectors and are identified by an integer, and that the vectors can be compared with L2 (Euclidean) distances or dot products. ... -
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Little Book of Linear Algebra
A concise, beginner-friendly introduction to the core ideas of linear
...The material is organized into chapters covering vectors, matrices, linear systems, vector spaces, eigenvalues/eigenvectors, and other central topics, each with worked examples and explanations. There is also a companion “LAB” section for hands-on exploration (e.g. using Python/NumPy) to help cement the connections between algebraic formulas and computational behavior. The exposition aims to sit between a pop-math summary and a heavy textbook: definitions and key theorems are stated cleanly, while proofs are sometimes omitted or sketched to keep the flow digestible. Because of its brevity and clarity, it's especially useful as a first pass for learners who want a solid map of the subject before diving into full textbooks. -
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Machine Learning Zoomcamp
Learn ML engineering for free in 4 months
...The project is designed to guide learners through the complete lifecycle of developing machine learning systems, starting with data preparation and model training and ending with production deployment. Participants learn how to build regression and classification models using Python libraries such as NumPy, Pandas, and Scikit-learn. The course also introduces more advanced topics including decision trees, ensemble methods, and neural networks. Later modules focus on practical engineering topics such as containerization with Docker, API development with FastAPI, and scaling machine learning services using Kubernetes and cloud platforms. ... -
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TextDistance
Compute distance between sequences
Python library for comparing the distance between two or more sequences by many algorithms. For main algorithms, text distance try to call known external libraries (fastest first) if available (installed in your system) and possible (this implementation can compare this type of sequences). Install text distance with extras for this feature. Textdistance use benchmark results for algorithm optimization and try to call the fastest external lib first (if possible). TextDistance show benchmarks... -
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WinPython
Portable Scientific Python 2/3 32/64bit Distribution for Windows
WinPython is a free open-source portable distribution of the Python programming language for Windows XP/7/8, designed for scientists, supporting both 32bit and 64bit versions of Python 2 and Python 3. Since September 2014, Developpement has moved to https://winpython.github.io/ -
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EasyABC
EasyABC is an open source ABC editor
EasyABC allows the user to create, edit, view, play, convert music written in the ABC music notation language. The program was originally written in Python 2.7 and WxPython by Nils Liberg and runs on Windows, OSX, and Linux. Jan Wybren de Jong has converted to run on Python 3.8 or higher. Frédéric Aupépin has been supporting EasyABC on OSX. EasyABC depends upon other external programs like abc2midi, abcm2ps, fluidsynth. If you install the Windows or Mac executables most of these programs are automatically included. -
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SQLObject
SQLObject is a Python ORM.
SQLObject is an object-relational mapper for Python. It supports MySQL, PostgreSQL, SQLite, Firebird, MaxDB/SapDB, MS SQL and Sybase. It supports Python versions back to 2.7. -
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PySchool
Installable / Portable Python Distribution for Everyone.
PySchool is a free and open-source Python distribution intended primarily for students who learn Python and data analysis, but it can also used by scientists, engineering, and data scientists. It includes more than 150 Python packages (full edition) including numpy, pandas, scipy, sympy, keras, scikit-learn, matplotlib, seaborn, beautifulsoup4... -
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Tellurium
Model, simulate, and analyze biochemical systems using one tool.
Tellurium (te.) is a Python environment supporting Spyder2 IDE and Jupyter Notebook aimed for large-scale systems and synthetic biology simulation. It combines a number of existing libraries, including libSBML, libRoadRunner (including libStruct), libAntimony, and is extensible via tePlugins. In addition other tools kits such as matplotlib and NumPy are used to provide additional analysis and plotting support. -
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Scrapy-Redis
Redis-based components for Scrapy
You can start multiple spider instances that share a single redis queue. Best suitable for broad multi-domain crawls. Scraped items gets pushed into a redis queued meaning that you can start as many as needed post-processing processes sharing the items queue. Scheduler + Duplication Filter, Item Pipeline, Base Spiders. Default requests serializer is pickle, but it can be changed to any module with loads and dumps functions. Note that pickle is not compatible between python versions. Version... -
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asammdf
Fast Python reader and editor for ASAM MDF / MF4 (Measurement Format)
*asammdf* is a fast Python parser and editor for ASAM (Associtation for Standardisation of Automation and Measuring Systems) MDF / MF4 (Measurement Data Format) files. It supports MDF versions 2 (.dat), 3 (.mdf) and 4 (.mf4). *asammdf* works on Python 2.7, and Python >= 3.4 -
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KherveBook
Computational notebook mixing Python, Markdown, LaTeX, JS and Sheet
KherveBook is a Jupyter-inspired computational notebook built as a native PyQt5 desktop application. A single document mixes five kinds of cell: runnable Python code, formatted Markdown, typeset LaTeX, JavaScript/HTML, and live spreadsheets. Python runs in an in-process kernel with NumPy, SciPy, pandas and Matplotlib preloaded. A side AI chat that knows the API of KherveBook that can write your Python program for you. Spreadsheet cells evaluate A1-style formulas in Python; LaTeX cells compile full documents with tectonic; JavaScript/HTML cells render in an embedded web view (D3, Plotly, canvas); and images or PDF pages import as cells. ... -
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Roundup Issue Tracker
Simple-to-use/-install issue-tracking system: web, REST, email, CLI
Roundup is a simple-to-use and -install issue-tracking system with command-line, web, REST, XML-RPC, and e-mail interfaces. It runs on python 2.7 or 3.6 or newer. Roundup has been deployed for: * bug tracking and TODO list management (the classic installation) * customer help desk support (with a wizard for the phone answerers, linking to networking, system and development issue trackers) * issue management for IETF working groups * sales lead tracking ...and so on. ... -
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geometry3d
A Python library for geometric objects in 3 dimentions
Implemented classes of 3d objects: * Vector3D * Point3D * Line3D * Plane3D * Ray3D * HalfPlane3D * HalfSpace3D * LineSegment3D Yet incompletely implemented classes: * Triangle3D * Disk3D (closed circle) * Union3D * Difference3D Each object has methods for finding its sizes, containing box or containing sphere. It finds intersection and distance or closest to another object part of itself. It also can tell if it contains the other object or is it contained by... -
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pyisocalc
Isotopic pattern calculator in python 3.x
An isotopic pattern calculator written in Python 3. Given a chemical formula, it calculates the full isotopic distribution and simulates a mass spectrum. Dependencies: Python 3.6+, numpy, matplotlib, tkinter. The old python 2.x code has been updated and given a GUI. It's also a lot faster now.
