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Showing 383 open source projects for "top"
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1
HTTP Prompt
An interactive command-line HTTP and API testing client
...You'll never have to memorize the whole commands and HTTP headers thanks to autocomplete with fuzzy matching. Improve readability by rendering JSON, HTML and commands with 27 builtin color themes, borrowed from Pygments. Designed to work with and built on top of HTTPie, HTTP Prompt makes a perfect companion for HTTPie. Cookie-based authentication made easy as incoming cookies are automatically set into your next request. With pipelines and output redirection, HTTP Prompt works seamlessly with your existing command line tools such as jq. Specify an OpenAPI/Swagger specification then you'll be able to explore API endpoints with ls like a filesystem. -
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PyTorch SimCLR
PyTorch implementation of SimCLR: A Simple Framework
...This is particularly interesting when annotated training data is scarce. In situations like this, we take the models’ pre-trained weights, append a new classifier layer on top of it, and retrain the network. This is called transfer learning, and is one of the most used techniques in CV. Aside from a few tricks when performing fine-tuning (if the case), it has been shown (many times) that if training for a new task, models initialized with pre-trained weights tend to learn faster and be more accurate then training from scratch using random initialization. -
3
ngxtop
Real-time metrics for nginx server
...Users can also customize queries, grouping logic, and filters to analyze specific traffic patterns or metrics. By combining the familiarity of the UNIX top paradigm with flexible log parsing, ngxtop offers a lightweight yet powerful approach to real-time web server observability. -
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FixRes
Reproduces results of "Fixing the train-test resolution discrepancy"
FixRes is a lightweight yet powerful training methodology for convolutional neural networks (CNNs) that addresses the common train-test resolution discrepancy problem in image classification. Developed by Facebook Research, FixRes improves model generalization by adjusting training and evaluation procedures to better align input resolutions used during different phases. The approach is simple but highly effective, requiring no architectural modifications and working across diverse CNN... -
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Phishing Catcher
Real-time phishing domain detection via Certificate Transparency logs
...Each certificate often contains one or more domain names, which the tool analyzes to determine whether they resemble suspicious or phishing-related domains. phishing_catcher applies a configurable scoring mechanism that assigns numeric values to certain keywords, patterns, or top-level domains found within certificate domain names. When a domain’s score exceeds predefined thresholds, it is flagged as potentially malicious and reported accordingly. It operates continuously, processing certificate updates as they arrive and displaying or logging domains that appear suspicious. This approach allows analysts, researchers, and security teams to identify phishing infrastructure early. -
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Multi-Agent Emergence Environments
Environment generation code for the paper "Emergent Tool Use"
multi-agent-emergence-environments is an open source research environment framework developed by OpenAI for the study of emergent behaviors in multi-agent systems. It was designed for the experiments described in the paper and blog post “Emergent Tool Use from Multi-Agent Autocurricula”, which investigated how complex cooperative and competitive behaviors can evolve through self-play. The repository provides environment generation code that builds on the mujoco-worldgen package, enabling... -
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TFLearn
Deep learning library featuring a higher-level API for TensorFlow
TFlearn is a modular and transparent deep learning library built on top of Tensorflow. It was designed to provide a higher-level API to TensorFlow in order to facilitate and speed up experimentations while remaining fully transparent and compatible with it. Easy-to-use and understand high-level API for implementing deep neural networks, with tutorials and examples. Fast prototyping through highly modular built-in neural network layers, regularizers, optimizers, and metrics. -
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EfficientNet Keras
Implementation of EfficientNet model. Keras and TensorFlow Keras
This repository contains a Keras (and TensorFlow Keras) reimplementation of EfficientNet, a lightweight convolutional neural network architecture achieving state-of-the-art accuracy with an order of magnitude fewer parameters and FLOPS, on both ImageNet and five other commonly used transfer learning datasets. Convolutional Neural Networks (ConvNets) are commonly developed at a fixed resource budget, and then scaled up for better accuracy if more resources are available. In this paper, we... -
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VideoPose3D
Efficient 3D human pose estimation in video using 2D keypoint
VideoPose3D is a deep learning framework that reconstructs 3D human poses from 2D keypoint sequences extracted from videos. 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. -
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Stable Baselines
A fork of OpenAI Baselines, implementations of reinforcement learning
...These algorithms will make it easier for the research community and industry to replicate, refine, and identify new ideas, and will create good baselines to build projects on top of. We expect these tools will be used as a base around which new ideas can be added, and as a tool for comparing a new approach against existing ones. We also hope that the simplicity of these tools will allow beginners to experiment with a more advanced toolset, without being buried in implementation details. -
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BlackWidow
Python web scanner for OSINT gathering and OWASP vulnerability fuzzing
...In addition to information gathering, the project includes a built-in fuzzing component called Inject-X, which tests dynamic URLs for common vulnerabilities listed in the OWASP Top 10. The scanner analyzes parameters and injects payloads to detect issues such as SQL injection, cross-site scripting (XSS), and open redirect vulnerabilities. -
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Clay Golem
Golem is creating a global market for computing power
...Golem’s democratized access combined with a unique peer-to-peer exchange creates an unstoppable ecosystem for a myriad of use-cases to be born, allowing software developers to leverage their creativity more than ever before. The Golem Network, through its cutting-edge architecture, lets developers create ambitious projects without constraints, enabling users to process them at top speeds. -
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MADDPG
Code for the MADDPG algorithm from a paper
...Each agent has its own policy, but training uses centralized critics conditioned on the observations and actions of all agents, enabling learning in cooperative, competitive, and mixed settings. The code is built on top of TensorFlow and integrates with the Multiagent Particle Environments (MPE) for benchmarking. Researchers can use it to reproduce the experiments presented in the paper, which demonstrate how agents learn behaviors such as coordination, competition, and communication. Although archived, MADDPG remains a widely cited baseline in multi-agent reinforcement learning research and has inspired further algorithmic developments. -
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Top deep learning Github repositories
Top 200 deep learning Github repositories sorted by stars
Top-Deep-Learning is a curated repository that aggregates some of the most influential and widely used deep learning projects available on GitHub. Instead of providing its own machine learning models or frameworks, the project functions as an organized index that helps users discover high-quality deep learning repositories across different application domains. -
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TensorFlow Object Counting API
The TensorFlow Object Counting API is an open source framework
The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems. Please contact if you need professional object detection & tracking & counting project with super high accuracy and reliability! You can train TensorFlow models with your own training data to built your own custom object counter system! If you want to learn how to do it, please check one of the sample projects, which cover some of the theory of transfer learning and show how to apply it in useful projects. ... -
16
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 differentiation and neural network operations. ... -
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NYCOpenData-Profiling-Analysis
Open Data Profiling, Quality and Analysis on NYC OpenData dataset
Open data often comes with little or no metadata. You will profile a large collection of open data sets and derive metadata that can be used for data discovery, querying, and identification of data quality problems. For each column, identify and summarize the semantic types present in the column. These can be generic types (e.g., city, state) or collection-specific types (NYU school names, NYC agency). For each semantic type T identified, enumerate all the values encountered for T in all... -
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remindMe
A sticky notes alternative with user customizations, popups, more...
remindME is a simple and free alternative to sticky notes that can store multiple notes on a single window or can be detached to separate notes popup. It also supports a lot of user customizations like background color, font color, font family, style, size. It also supports features of stay-on-top and export options. -
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pysourceinfo
RTTI for Python Source and Binary Files
The 'pysourceinfo' package provides source information on Python runtime objects based on 'inspect', 'sys', 'os', and 'imp'. The covered objects include packages, modules, functions, methods, scripts, and classes by two views: - File System View - packages, modules, and linenumbers - based on files and paths - Runtime Object View - callables, classes, and containers - based on in-memory RTTI / introspection The supported platforms are: - Linux, BSD, Unix, OS-X, Cygwin, and... -
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pyindi-client
Python binding to the libindi library
...This class could be used to build python scripts able to interact with indi servers using sendNew* methods and implementing new* methods of the BaseMediator class. PyQt applications may also be built on top of IndiClient, thus allowing rapid development of GUI Indi clients. Besides Python there are also bindings for node.js, Tcl (incomplete) and PHP (not useful). As application examples you will find a Python Websocket server with which you may build a web application interacting with Indi servers, and a simple PyQt application similar to the Kstars Indi Control Panel (was built as an exercise). ... -
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hug
Embrace the APIs of the future. For developing APIs
...The framework should encourage code that self-documents. It should be fast. A developer should never feel the need to look somewhere else for performance reasons. Writing tests for APIs written on-top of hug should be easy and intuitive. Magic done once, in an API framework, is better than pushing the problem set to the user of the API framework. Be the basis for next-generation Python APIs, embracing the latest technology. -
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SimpleITK: a simplified layer build on top of the Insight Toolkit (ITK), intended to facilitate its use in rapid prototyping, education and interpreted languages.
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MMF
A modular framework for vision & language multimodal research
...MMF is designed from ground up to let you focus on what matters, your model, by providing boilerplate code for distributed training, common datasets and state-of-the-art pre-trained baselines out-of-the-box. MMF is built on top of PyTorch that brings all of its power in your hands. MMF is not strongly opinionated. So you can use all of your PyTorch knowledge here. MMF is created to be easily extensible and composable. Through our modular design, you can use specific components from MMF that you care about. Our configuration system allows MMF to easily adapt to your needs. -
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BitMask32
A small tool that makes generating bit masks easy.
A visual view of a virtual 32-bit register, where you can toggle each bit by clicking on it. The value of the `register` is updated and it can be copied to the clipboard by copy buttons. The window can be set on top so you can switch focus to your editor without losing the window. -
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Project Malmo
A platform for Artificial Intelligence experimentation on Minecraft
...Project Malmo sets out to address these core research challenges, addressing them by integrating (deep) reinforcement learning, cognitive science, and many ideas from artificial intelligence. The Malmo platform is a sophisticated AI experimentation platform built on top of Minecraft, and designed to support fundamental research in artificial intelligence. The Project Malmo platform consists of a mod for the Java version, and code that helps artificial intelligence agents sense and act within the Minecraft environment. The two components can run on Windows, Linux, or Mac OS, and researchers can program their agents in any programming language they’re comfortable with.
