Search Results for "kdiff3-64bit-setup_0.9.98-2.exe" - Page 2
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Showing 3062 open source projects for "kdiff3-64bit-setup_0.9.98-2.exe"
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Vim Win32 Installer
Vim Win32 Installer
The vim-win32-installer project provides prebuilt Windows installers and archive builds of Vim — the venerable command-line text editor known for its efficiency, modal editing, and extensibility — specifically packaged for the Microsoft Windows platform. This repository automates building Nightly and stable snapshots of Vim for Win32, Win64, and ARM64 targets, producing ready-to-run .exe installers and .zip bundles that users can download and install without compiling from source. It ensures that Windows users have access to the latest Vim features and bug fixes with appropriate patches applied, maintaining compatibility with native Windows behavior while preserving the core Unix-originated Vim experience. These builds can include support for scripting languages such as Python, Ruby, Lua, and Perl when corresponding interpreters are installed, expanding Vim’s extensibility on Windows. -
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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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OnlineJudge 2.0
Open source online judge based on Vue, Django and Docker
An open-source online judge system based on Python and Vue. Based on Docker; One-click deployment. Separated backend and frontend; Modular programming; Micro service. ACM/OI rule support; realtime/non-realtime rank support. Amazing charting and visualization. Template-problem support. More reasonable permission control. Multi-language support: C, C++, Java, Python2, Python3. Markdown & MathJax support. Contest participants IP limit(CIDR). You can control the menu and chart status in rankings. -
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OpenCore Legacy Patcher
Experience macOS just like before
A Python-based project revolving around Acidanthera's OpenCorePkg and Lilu for both running and unlocking features in macOS on supported and unsupported Macs. Our project's main goal is to breathe new life into Macs no longer supported by Apple, allowing for the installation and usage of macOS Big Sur and newer on machines as old as 2007. -
Skillfully - The future of skills based hiringSkillfully transforms hiring through AI-powered skill simulations that show you how candidates actually perform before you hire them. Our platform helps companies cut through AI-generated resumes and rehearsed interviews by validating real capabilities in action. Through dynamic job specific simulations and skill-based assessments, companies like Bloomberg and McKinsey have cut screening time by 50% while dramatically improving hire quality.
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Nafas
Breathing Gymnastics Application
Breathing gymnastics is a system of breathing exercises that focuses on the treatment of various diseases and general health promotion. Nafas is a collection of breathing gymnastics designed to reduce the exhaustion of long working hours. With multiple breathing patterns, Nafas helps you find your way to a detoxified energetic workday and also improves your concentration by increasing the oxygen level. No need to walk away to take a break, just sit comfortably, run Nafas and let the journey... -
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Video2X
A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K
A lossless video/GIF/image upscale achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley 2, 2018. The latest Windows update is built based on version 4.8.1. GUI is not available for 5.0.0 yet, but is already under development. Go to the GUI page to see the basic usage of the GUI. Try the mirror if you can't download releases directly from GitHub. You can use Video2X on Google Colab for free if you don't have a powerful GPU of your own. -
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NetherSX2
Continuation of NetherSX2 based on AetherSX2 4248
NetherSX2-patch is a community-driven continuation and enhancement of the NetherSX2 Android PlayStation 2 emulator, itself a modded fork of the open-source AetherSX2 project originally based on PCSX2. It focuses on providing a more complete and feature-rich experience by applying patches to the upstream emulator build and removing ad-related bloat, fixing notification issues, and exposing many internal settings so users have finer control over performance and compatibility on mobile devices. ... -
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rnet
Python HTTP client with TLS and HTTP/2 fingerprint emulation support
...It provides a flexible API for making HTTP requests while supporting both asynchronous and blocking workflows, allowing it to integrate easily into different Python applications and runtimes. rnet focuses on low-level protocol customization, giving users fine-grained control over TLS and HTTP/2 configuration in order to emulate specific browser behaviors. This includes support for TLS fingerprinting techniques such as JA3 and JA4 as well as detailed HTTP/2 settings, enabling more accurate simulation of real client network traffic. It is powered by the underlying wreq engine and is built with performance and modularity in mind. rnet also supports advanced networking capabilities such as proxy rotation, connection pooling, and streaming transfers, which make it suitable for automation, scraping, and high-performance network. -
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gpt-oss
gpt-oss-120b and gpt-oss-20b are two open-weight language models
gpt-oss is OpenAI’s open-weight family of large language models designed for powerful reasoning, agentic workflows, and versatile developer use cases. The series includes two main models: gpt-oss-120b, a 117-billion parameter model optimized for general-purpose, high-reasoning tasks that can run on a single H100 GPU, and gpt-oss-20b, a lighter 21-billion parameter model ideal for low-latency or specialized applications on smaller hardware. Both models use a native MXFP4 quantization for efficient memory use and support OpenAI’s Harmony response format, enabling transparent full chain-of-thought reasoning and advanced tool integrations such as function calling, browsing, and Python code execution. ... -
Failed Payment Recovery for Subscription BusinessesFlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
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Certbot
Get free HTTPS certificates forever from Let's Encrypt
Certbot is a fully-featured, easy-to-use, extensible client for the Let's Encrypt CA. It fetches a digital certificate from Let’s Encrypt, an open certificate authority launched by the EFF, Mozilla, and others. This certificate then lets browsers verify the identity of web servers and ensures secure communication over the Web. Obtaining and maintaining a certificate is usually such a hassle, but with Certbot and Let’s Encrypt it becomes automated and hassle-free. With just a few simple... -
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MESHROOM
3D reconstruction software
...Photography is the projection of a 3D scene onto a 2D plane, losing depth information. The goal of photogrammetry is to reverse this process. The dense modeling of the scene is the result yielded by chaining two computer vision-based pipelines, “Structure-from-Motion” (SfM) and “Multi View Stereo” (MVS). Fusion of Multi-bracketing LDR images into HDR. Alignment of panorama images. Support for fisheye optics. Automatically estimate fisheye circle or manually edit it. Take advantage of motorized-head file. Easy to integrate in your Renderfarm System. ... -
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FlashAttention
Fast and memory-efficient exact attention
...It achieves this by using IO-aware algorithms that minimize memory reads and writes, reducing the quadratic memory overhead typically associated with attention operations. The project provides implementations of FlashAttention, FlashAttention-2, and newer iterations optimized for modern GPU architectures such as NVIDIA Hopper and AMD accelerators. By improving both forward and backward pass efficiency, it enables training and inference of large language models with longer sequence lengths and higher throughput. The library integrates with PyTorch and supports various attention configurations, including causal masking, multi-query attention, and rotary embeddings. -
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llama2.c
Inference Llama 2 in one file of pure C
llama2.c is a minimalist implementation of the Llama 2 language model architecture designed to run entirely in pure C. Created by Andrej Karpathy, this project offers an educational and lightweight framework for performing inference on small Llama 2 models without external dependencies. It provides a full training and inference pipeline: models can be trained in PyTorch and later executed using a concise 700-line C program (run.c). -
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virtualenv
Virtual Python environment builder
...The basic problem being addressed is one of dependencies and versions, and indirectly permissions. Imagine you have an application that needs version 1 of LibFoo, but another application requires version 2. How can you use both these libraries? If you install everything into your host python (e.g. python3.8) it’s easy to end up in a situation where two packages have conflicting requirements. -
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Kivy
Innovative user interfaces made easy
Kivy is an open source, cross-platform UI framework that lets you develop applications that make use of innovative, multi-touch user interfaces. Written in Python with a graphics engine built over OpenGL ES 2, Kivy supports various input devices and protocols, and gives you access to over 20 widgets that are all highly extensible and have built-in multi-touch support. You can run the same codebase on Mac, Windows, Linux, Android and iOS. Kivy is 100% free and open source with a professionally developed and used toolkit, as well as a stable framework and well-documented API, so you can be confident in using it in a commercial product. -
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Real-ESRGAN GUI
Cross-platform GUI for image upscaler Real-ESRGAN
...According to actual measurements, arm64the single-architecture performance is better than universal2the dual- architecture Mac on the Apple chip, so Apple chip users are advised to pack arm64single-architecture applications by themselves. Real-ESRGAN can only enlarge the input image with a fixed 2-4x magnification (related to the selected model). This functionality is achieved by downsampling using a conventional scaling algorithm after multiple calls to Real-ESRGAN. Split each frame of the GIF and record the duration, zoom in one by one and then merge. Drag an image file or directory to any position in the window, and its path can be automatically set as the input. -
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mitmproxy
A free and open source interactive HTTPS proxy
mitmproxy is an open source, interactive SSL/TLS-capable intercepting HTTP proxy, with a console interface fit for HTTP/1, HTTP/2, and WebSockets. It's the ideal tool for penetration testers and software developers, able to debug, test, and make privacy measurements. It can intercept, inspect, modify and replay web traffic, and can even prettify and decode a variety of message types. Its web-based interface mitmweb gives you a similar experience as Chrome's DevTools, with the addition of features like request interception and replay. ... -
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TensorFlow Model Garden
Models and examples built with TensorFlow
...To improve the transparency and reproducibility of our models, training logs on TensorBoard.dev are also provided for models to the extent possible though not all models are suitable. A flexible and lightweight library that users can easily use or fork when writing customized training loop code in TensorFlow 2.x. It seamlessly integrates with tf.distribute and supports running on different device types (CPU, GPU, and TPU). -
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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 tokenization and model handling. ... -
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rembg
Rembg is a tool to remove images background
Rembg is a powerful tool that utilizes AI (specifically U^2-Net) to automatically remove backgrounds from images, offering a streamlined command-line interface and Docker support. It's ideal for batch processing and integrates smoothly into workflows -
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FFsubsync
Automagically synchronize subtitles with video
...First, make sure ffmpeg is installed. Make sure ffmpeg is on your path and can be referenced from the command line! Next, grab the script. It should work with both Python 2 and Python 3. There may be occasions where you have a correctly synchronized srt file in a language you are unfamiliar with, as well as an unsynchronized srt file in your native language. In this case, you can use the correctly synchronized srt file directly as a reference for synchronization, instead of using the video as the reference. ffsubsync uses the file extension to decide whether to perform voice activity detection on the audio or to directly extract speech from an srt file. ffsubsync usually finishes in 20 to 30 seconds, depending on the length of the video. -
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alphageometry
AI-driven neuro-symbolic solver for high-school geometry problems
AlphaGeometry, developed by Google DeepMind, is a theorem-proving system that combines symbolic reasoning with deep learning to solve challenging geometry problems, such as those found in mathematical Olympiads. The repository provides the full implementation of DDAR (Deductive Difference and Abductive Reasoning) and AlphaGeometry, two automated geometry solvers described in the 2024 Nature paper “Solving Olympiad Geometry without Human Demonstrations.” AlphaGeometry integrates a symbolic deduction engine with a transformer-based language model to propose and validate geometric constructions in a stepwise proof process. The DDAR solver focuses purely on rule-based reasoning, while AlphaGeometry enhances this by using a learned model to suggest auxiliary constructions when logical reasoning alone is insufficient. ... -
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SAM 3
Code for running inference and finetuning with SAM 3 model
...It accepts both text prompts (open-vocabulary concepts like “red car” or “goalkeeper in white”) and visual prompts (points, boxes, masks) and returns high-quality masks, boxes, and scores for the requested concepts. Compared with SAM 2, SAM 3 introduces the ability to exhaustively segment all instances of an open-vocabulary concept specified by a short phrase or exemplars, scaling to a vastly larger set of categories than traditional closed-set models. This capability is grounded in a new data engine that automatically annotated over four million unique concepts, producing a massive open-vocabulary segmentation dataset and enabling the model to achieve 75–80% of human performance on the SA-CO benchmark, which itself spans 270K unique concepts. -
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Thinc
A refreshing functional take on deep learning
...Switch between PyTorch, TensorFlow and MXNet models without changing your application, or even create mutant hybrids using zero-copy array interchange. Develop faster and catch bugs sooner with sophisticated type checking. Trying to pass a 1-dimensional array into a model that expects two dimensions? That’s a type error. Your editor can pick it up as the code leaves your fingers. -
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EasyOCR
Ready-to-use OCR with 80+ supported languages
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc. EasyOCR is a python module for extracting text from image. It is a general OCR that can read both natural scene text and dense text in document. We are currently supporting 80+ languages and expanding. Second-generation models: multiple times smaller size, multiple times faster inference, additional characters and comparable accuracy to the first...
