Search Results for "python 2 code for fixed point math"
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Showing 39 open source projects for "python 2 code for fixed point math"
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LTX-2
Python inference and LoRA trainer package for the LTX-2 audio–video
LTX-2 is a powerful, open-source toolkit developed by Lightricks that provides a modular, high-performance base for building real-time graphics and visual effects applications. It is architected to give developers low-level control over rendering pipelines, GPU resource management, shader orchestration, and cross-platform abstractions so they can craft visually compelling experiences without starting from scratch. Beyond basic rendering scaffolding, LTX-2 includes optimized math libraries,... -
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AIMET
AIMET is a library that provides advanced quantization and compression
Qualcomm Innovation Center (QuIC) is at the forefront of enabling low-power inference at the edge through its pioneering model-efficiency research. QuIC has a mission to help migrate the ecosystem toward fixed-point inference. With this goal, QuIC presents the AI Model Efficiency Toolkit (AIMET) - a library that provides advanced quantization and compression techniques for trained neural network models. AIMET enables neural networks to run more efficiently on fixed-point AI hardware... -
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SymPy
A computer algebra system written in pure Python
SymPy is an open source Python library for symbolic mathematics. Its goal is to become a full-featured computer algebra system (CAS) while maintaining the simplicity of its code. Written entirely in Python, SymPy is easy to use, comprehensible and easily extensible. It’s also very lightweight as it solely depends on mpmath, a pure Python library for arbitrary floating point arithmetic. SymPy has participated in every Google Summer of Code since 2007 and because of this has continuously... -
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AWS Lambda Python Runtime Interf Client
Seamlessly extend your preferred base images to be Lambda compatible
We have open-sourced a set of software packages, Runtime Interface Clients (RIC), that implement the Lambda Runtime API, allowing you to seamlessly extend your preferred base images to be Lambda compatible. The Lambda Runtime Interface Client is a lightweight interface that allows your runtime to receive requests from and send requests to the Lambda service. The Lambda Python Runtime Interface Client is vended through pip. You can include this package in your preferred base image to make... -
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Poetiq
Reproduction of Poetiq's record-breaking submission to the ARC-AGI-1
poetiq-arc-agi-solver is the open-source codebase from Poetiq that replicates their record-breaking submission to the challenging benchmark suite ARC-AGI (both ARC-AGI-1 and ARC-AGI-2). The project demonstrates a system that orchestrates large language models (LLMs) — like those from major providers — with carefully engineered prompting, reasoning workflows, and dynamic strategies, to tackle the abstract, logic-heavy problems in ARC-AGI. Instead of relying on a single prompt or fixed... -
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fastai
Deep learning library
fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches. It aims to do both things without substantial compromises in ease of use, flexibility, or performance. This is possible thanks to a carefully layered architecture, which expresses common underlying... -
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Mathematics Dataset
This dataset code generates mathematical question and answer pairs
The Mathematics Dataset, developed by Google DeepMind, is a synthetic dataset designed to evaluate and train machine learning models on mathematical reasoning and symbolic manipulation. It generates question-and-answer pairs across a wide range of mathematical topics typically found in school-level curricula, testing a model’s ability to reason about algebra, arithmetic, calculus, probability, and more. Each question is programmatically generated with structured templates to ensure clear... -
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OpenCLIP
An open source implementation of CLIP
The goal of this repository is to enable training models with contrastive image-text supervision and to investigate their properties such as robustness to distribution shift. Our starting point is an implementation of CLIP that matches the accuracy of the original CLIP models when trained on the same dataset. Specifically, a ResNet-50 model trained with our codebase on OpenAI's 15 million image subset of YFCC achieves 32.7% top-1 accuracy on ImageNet. OpenAI's CLIP model reaches 31.3% when... -
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claudio-bar-vlv
Native macOS menu bar app for Claude Code usage alerts
ClaudioBar VlV is a native macOS menu bar utility that shows how much of your current Claude Code 5-hour session you've used, and lets you configure the sounds and shell actions that fire as you approach your limits. It does not compute usage itself — there is no public API for that. A companion Python script, run from Claude Code's statusLine hook, tracks usage and writes it to a small local JSON file. ClaudioBar VlV just reads that file to display live status, and writes the alert... -
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Loss
The Brutalist Market Analyzer
...A Render Python Backend acts as the "Brain," executing heavy machine learning and NLP tasks. Try the live application in action here: https://loss-by-vignesh.vercel.app before downloading the source code Visit For More Details : https://github.com/Vignesh-72/Loss -
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clavirio
Learn touch typing without leaving the terminal
A free, open-source typing tutor for the terminal. Progressive lessons, practice modes, real-time stats, and a virtual keyboard with finger hints — for QWERTY, Dvorak, and Colemak. Methodology Research on typing skill suggests that skilled typing relies more on implicit procedural control than on explicit knowledge of key locations. The paper also suggests that the keyboard is represented in terms of its row-and-column structure, not as a memorized list of individual... -
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GPT-2
Code for the paper Language Models are Unsupervised Multitask Learners
This repository contains the code and model weights for GPT-2, a large-scale unsupervised language model described in the OpenAI paper “Language Models are Unsupervised Multitask Learners.” The intent is to provide a starting point for researchers and engineers to experiment with GPT-2: generate text, fine‐tune on custom datasets, explore model behavior, or study its internal phenomena. The repository includes scripts for sampling, training, downloading pre-trained models, and utilities for... -
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Quiz/Survey/Test - QST
A Free, complete, open source universal assessment/exam platform
QST, the worlds unparalleled open source, multi-tenant, online/lan assessment software. From a quick quiz on your phone to very large scale, high stakes, proctored desktop testing, we make it easy/secure/economical. Our intuitive design contains features (Immediate detailed results, Create/Export/Import/Convert Questions, WYSIWYG/Visual Math-Chemistry Editors, Question/Item Bank, Multiple Question Types, Multiple Delivery Styles, Multiple Delivery/Results Options, Adaptive/Branching... -
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NKTgLaw
Core library & API for the NKTg Law (Nguyen Khanh Tung). Includes core
Core library & API for the NKTg Law (Nguyen Khanh Tung). Includes core implementation, REST/gRPC API, and 150+ client wrappers -
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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 to... -
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eCxx
A C++ library for AVR and NodeMCU
NOTE: This project is marked with 'Status: Abandoned' on SourceForge because not enough time can be dedicated to this project. However it may still get sporadic commits to the repository. eCxx is a library for AVR and NodeMCU tailored for micro LED displays and lighting effects. eCxx is utilizing Makefile build system. Java and Python based applications/tools are also included to ease the development and debugging process using the host PC. On one side, eCxx supports the original... -
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wxMEdit
wxMEdit, Cross-platform Text/Hex Editor, Improved Version of MadEdit
•Added automatically checking for updates •Added bookmark support •Added right-click context menu for each tab •Added purging histories support •Added selecting a line by triple click •Added FreeBASIC syntax file •Added an option to place configuration files into %APPDATA% directory under Windows •Improved support for Find/Replace •Improved Mac OS X support •Improved system integration under Windows •Improved encoding detection result •Improved Hex editing support •Added more... -
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PY-Nodes
Code for finding nodes in a material using first-principle approach.
PY-Nodes is a Python 3 based code designed for searching nodes (bands-degenerate points) associated with two or more bands in a given material using the first-principle approach. This code is helpful in efficient searching of the nodes present in the topological semimetals such as- Weyl semimetals, Dirac semimetals & nodal-line semimetals. The code is presently interfaced with the WIEN2k package. -
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m2cgen
Transform ML models into a native code
m2cgen (Model 2 Code Generator) - is a lightweight library that provides an easy way to transpile trained statistical models into a native code (Python, C, Java, Go, JavaScript, Visual Basic, C#, PowerShell, R, PHP, Dart, Haskell, Ruby, F#, Rust, Elixir). Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies. -
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Image GPT
Large-scale autoregressive pixel model for image generation by OpenAI
Image-GPT is the official research code and models from OpenAI’s paper Generative Pretraining from Pixels. The project adapts GPT-2 to the image domain, showing that the same transformer architecture can model sequences of pixels without altering its fundamental structure. It provides scripts to download pretrained checkpoints of different model sizes (small, medium, large) trained on large-scale datasets and includes utilities for handling color quantization with a 9-bit palette.... -
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Forthx64
64-bit Forth with multi-precision enhancements for x86_64 processors
Version 4.0 is here! Featuring: * auxiliary stack * x87 FPU interface * IEEE double-precision and quad-precision floating-point math interface * ptrace interface * Completely reorganized listing * Can be assembled as position independent executable (PIE) Renders previous versions obsolete! Skeleton key to the world's most powerful microprocessor Available for both yasm and GNU assembler Uses Linux system calls for most I/O 100% 64-bit assembly code Independent stacks, including auxiliary stack Incorporates practical multi-precision fixed-point math , IEEE single, double, extended, and quad-precision math, and extensive numeric conversions Full complement of operators Adapted exclusively for Linux Integrates with the Shell -
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ECS:Python
Light-weight C++ library for embedding Python into C++
ECS:Python (Embedded C++ Scripting with Python) is a simple Python wrapper library designed specifically for C++ developers who wish to add Python scripting to their new / existing C++ projects. ECS:Python allows you to expose objects from a C++ application to an embedded Python interpreter for interactive scripting. ECS:Python is light-weight and easy to use. To get started all you need to do from your project is #include "EcsPython.h", and link to the EcsPython library. Included with... -
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LearningToCompare_FSL
Learning to Compare: Relation Network for Few-Shot Learning
LearningToCompare_FSL is a PyTorch implementation of the “Learning to Compare: Relation Network for Few-Shot Learning” paper, focusing on the few-shot learning experiments described in that work. The core idea implemented here is the relation network, which learns to compare pairs of feature embeddings and output relation scores that indicate whether two images belong to the same class, enabling classification from only a handful of labeled examples. The repository provides training and... -
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Various emulators and experiments
Atari 2600, C64, Python, 3D engines and rock'n roll
MVE is an acronym for Modular Virtual Engine. It provides an interface for programming and running (your own) units (virtual machines), each unit consisting of several modules (CPU, Video, Audio, Input, Drive, et cetera). Furthermore the Modular Virtual. This project has been frozen because of lack of motivation. But what you will find here, is a lot assembly code for the Atari 2600 and C64, experiments with 3D math on Python. -
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pyparsing is a general parsing module for Python. Grammars are implemented directly in the client code using parsing objects, instead of externally, as with lex/yacc-type tools. Includes simple examples for parsing SQL, CORBA IDL, and 4-function math
