Search Results for "python code editor" - Page 63
Sort By:
Showing 2969 open source projects for "python code editor"
View related business solutions-
Our Free Plans just got better! | Auth0You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
-
Context for your AI agentsBuild data pipelines that feed your AI models and agents without managing infrastructure. Crawl any website, transform content, and push directly to your preferred vector store. Use 10,000+ tools for RAG applications, AI assistants, and real-time knowledge bases. Monitor site changes, trigger workflows on new data, and keep your AIs fed with fresh, structured information. Cloud-native, API-first, and free to start until you need to scale.
-
1
Ganja.js
Javascript Geometric Algebra Generator for Javascript, c++
...Technically, ganja.js is a code generator producing classes that reificate algebraic literals and expressions by using reflection, a built-in tokenizer and a simple AST translator to rewrite functions containing algebraic constructs to their procedural counterparts. ganja.js now has a nodejs based templated source generator that allows the creation of arbitrary algebras for C++, C#, python and rust. -
2
Vishesh Auto Index
Vishesh Auto Index 5 is Best Wap Auto Index for mp3 sites.
Vishesh Auto Index is a rebirth of AutoIndex. A mobile focused autoindex script that allows users to create a mobile download site. Security level too high. Vishesh Auto Index 5 specially made for mp3/mp4 downloading websites. Vishesh Auto Index 5 My Official Blog:- https://visheshgrewal.blogspot.com Vishesh Auto Index:- https://vishesh-auto-index.blogspot.com Readme.txt for more information -
3
CrypTen
A framework for Privacy Preserving Machine Learning
CrypTen is a research framework developed by Facebook Research for privacy-preserving machine learning built directly on top of PyTorch. It provides a secure and intuitive environment for performing computations on encrypted data using Secure Multiparty Computation (SMPC). Designed to make secure computation accessible to machine learning practitioners, CrypTen introduces a CrypTensor object that behaves like a regular PyTorch tensor, allowing users to seamlessly apply automatic... -
4
py-music-downloader
A Music Downloader written in python with tkinter
A music downloading software written in python using tkinter, still in Alpha, the software takes some time to start. Please note that when the software says not responding DO NOT CLOSE IT, it is downloading the songs . The code is pretty shit but does the job. DO NOT SPAM THE DOWNLOAD BUTTON, the files are being downloaded. An internet connection is really helpful. Do leave an honest review. -
5
Language Server Protocol
Defines a common protocol for language servers
The Language Server Protocol (LSP) is a specification that standardizes how editors and IDEs communicate with language-smart backends over JSON-RPC. It defines capabilities such as completion, hover information, signature help, go-to definition, find references, diagnostics, code actions, formatting, rename, semantic tokens, and more. By decoupling tooling from individual editors, a single language server can power multiple clients, dramatically reducing duplicated effort across ecosystems.... -
6
vim.wasm
Vim editor ported to WebAssembly
...Drag and drop files to browser tab opens them in Vim. When opening it, it opens tryit.js example JavaScript source code. Basic usage is described in comments at top of the file. Example source contains min-heap data structure and heap sort algorithm. Enjoy coding! And :% runs the code in your browser. -
7
textgenrnn
Easily train your own text-generating neural network
With textgenrnn you can easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code. A modern neural network architecture that utilizes new techniques as attention-weighting and skip-embedding to accelerate training and improve model quality. Train on and generate text at either the character-level or word-level. Configure RNN size, the number of RNN layers, and whether to use bidirectional RNNs. Train on any generic input text... -
8
Anoa Notepad
A free and open source text and code editor.
Anoa Notepad is a free and open source text and code editor for programmers, software developers, software engineers, and common users. -
9
PyTracking
Visual tracking library based on PyTorch
A general python framework for visual object tracking and video object segmentation, based on PyTorch. Official implementation of the RTS (ECCV 2022), ToMP (CVPR 2022), KeepTrack (ICCV 2021), LWL (ECCV 2020), KYS (ECCV 2020), PrDiMP (CVPR 2020), DiMP (ICCV 2019), and ATOM (CVPR 2019) trackers, including complete training code and trained models. -
Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
-
10
Spinning Up in Deep RL
Educational resource to help anyone learn deep reinforcement learning
Welcome to Spinning Up in Deep RL! This is an educational resource produced by OpenAI that makes it easier to learn about deep reinforcement learning (deep RL). For the unfamiliar, reinforcement learning (RL) is a machine learning approach for teaching agents how to solve tasks by trial and error. Deep RL refers to the combination of RL with deep learning. At OpenAI, we believe that deep learning generally, and deep reinforcement learning specifically, will play central roles in the... -
11
Python Patterns
A collection of design patterns/idioms in Python
Python-Patterns is a repository collecting implementations of many classical design patterns and idioms, written in Python. It serves as an educational resource: showing how to implement creational, structural, behavioral, testability, and other patterns in a Pythonic style (or sometimes less so), illustrating trade-offs, different styles, and use cases. -
12
Nightcode
An IDE for Clojure
Nightcode is a lightweight, beginner-friendly IDE for Clojure and ClojureScript. Built with Java and JavaFX, it includes integrated REPL, Leiningen/Clojure CLI support, project templates, and syntax highlighting, targeting newcomers and students. It supports code execution in both Clojure and JS environments, packaged as cross-platform jars and installers. -
13
GraalVM
Run programs faster anywhere
GraalVM is a high-performance multilingual runtime. It is designed to accelerate the execution of applications written in Java and other JVM languages while also providing runtimes for JavaScript, Ruby, Python, etc. Increase application throughput and reduce latency. Compile applications into small self-contained native binaries. Seamlessly use multiple languages and libraries. Advanced optimizing compiler that generates fast lean code which requires fewer compute resources. Native binaries start up instantly and deliver peak performance with no warm up time. ... -
14
deep-q-learning
Minimal Deep Q Learning (DQN & DDQN) implementations in Keras
...For learners and researchers interested in reinforcement learning, this repo offers a concrete, runnable example bridging theory and practice: you can execute the code, play with hyperparameters, observe convergence behavior, and see how deep Q-learning learns policies over time in standard environments. Because it’s self-contained and Python-based, it's well-suited for experimentation, modifications, or extension — for instance adapting to custom Gym environments, tweaking network architecture, or combining with other RL techniques. -
15
TensorFlow Course
Simple and ready-to-use tutorials for TensorFlow
This repository houses a highly popular (~16k stars) set of TensorFlow tutorials and example code aimed at beginners and intermediate users. It includes Jupyter notebooks and scripts that cover neural network fundamentals, model training, deployment, and more, with support for Google Colab. -
16
Miasm
Reverse engineering framework in Python
The Miasm intermediate representation is used for multiple task: emulation through its jitter engine, symbolic execution, DSE, program analysis, but the intermediate representation can be a bit hard to read. We will present in this article new tricks Miasm has learned in 2018. Among them, the SSA/Out-of-SSA transformation, expression propagation and high-level operators can be joined to “lift” Miasm IR to a more human-readable language. We use graphviz to illustrate some graphs. Its layout... -
17
DisplayCAL
Display Calibration and Characterization powered by Argyll CMS
DisplayCAL (formerly known as dispcalGUI) is a graphical user interface for the display calibration and profiling tools of Argyll CMS, an open source color management system. Calibrate and characterize your display devices using one of the many supported measurement instruments, with support for multi-display setups and a variety of available settings like customizable whitepoint, luminance, tone response curve as well as the option to create accurate look-up-table ICC profiles as well as... -
18
Flask-GraphQL
Adds GraphQL support to your Flask application
Adds GraphQL support to your Flask application. This will add /graphql endpoint to your app and enable the GraphiQL IDE. If you are using the Schema type of Graphene library, be sure to use the graphql_schema attribute to pass as schema on the GraphQLView view. Otherwise, the GraphQLSchema from graphql-core is the way to go. The GraphQLSchema object that you want the view to execute when it gets a valid request. A value to pass as the context_value to graphql execute function. By default is... -
19
RecNN
Reinforced Recommendation toolkit built around pytorch 1.7
This is my school project. It focuses on Reinforcement Learning for personalized news recommendation. The main distinction is that it tries to solve online off-policy learning with dynamically generated item embeddings. I want to create a library with SOTA algorithms for reinforcement learning recommendation, providing the level of abstraction you like. -
20
Django_blog
A blog application made with Django and bootstrap
A blog application made on Django. -
21
G-code processor
Modify and visualise your G-code
G-code Processor is a set of python functions which help to modify and visualise G-code. It allows to have variables in G-code, makes transformations of the coded structures, helps to eliminate the tilt of the substrate and, at last, plots the result. -
22
YouTube-8M
Starter code for working with the YouTube-8M dataset
youtube-8m is Google’s open source starter code and reference implementation for training and evaluating machine learning models on the YouTube-8M dataset, one of the largest video understanding datasets publicly released. The repository provides a complete pipeline for video-level and frame-level modeling using TensorFlow, including data reading, model training, evaluation, and inference. It was developed to support the YouTube-8M Video Understanding Challenge (hosted on Kaggle and featured... -
23
UltiSnips
Snippet solution for Vim
UltiSnips is the ultimate solution for snippets in Vim. It has many features, speed being one of them. You should first expand the #! snippet, then the class snippet. The completion menu comes from YouCompleteMe, UltiSnips also integrates with deoplete, and more. You can jump through placeholders and add text while the snippet inserts text in other places automatically: when you add Animal as a base class, __init__ gets updated to call the base class constructor. When you add arguments to... -
24
Dive-into-DL-TensorFlow2.0
Dive into Deep Learning
This project changes the MXNet code implementation in the original book "Learning Deep Learning by Hand" to TensorFlow2 implementation. After consulting Mr. Li Mu by the tutor of archersama , the implementation of this project has been agreed by Mr. Li Mu. Original authors: Aston Zhang, Li Mu, Zachary C. Lipton, Alexander J. Smola and other community contributors. There are some differences between the Chinese and English versions of this book . This project mainly focuses on TensorFlow2... -
25
PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
...For example, check out this example code for training on the Stanford Natural Language Inference (SNLI) Corpus. Now you've setup your pipeline, you may want to ensure that some functions run deterministically. Wrap any code that's random, with fork_rng and you'll be good to go. Now that you've computed your vocabulary, you may want to make use of pre-trained word vectors to set your embeddings.
