Search Results for "smtp-test" - Page 6
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Showing 727 open source projects for "smtp-test"
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1
TorchCode
Practice implementing softmax, attention, GPT-2 and more
...The platform provides a collection of curated problems that cover fundamental topics such as activation functions, normalization layers, attention mechanisms, and full transformer architectures. It runs in a Jupyter-based environment, allowing users to write, test, and debug their code interactively while receiving immediate feedback. An automated judging system evaluates correctness, gradient flow, and numerical stability, helping users understand both functional and theoretical aspects of their implementations. -
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django-braces
Reusable, generic mixins for Django
django-braces provides useful Mixins for Django's class-based views. Most of these mixins replicate the behavior of Django's function-based view decorators. Others solve common headaches with working with class-based views. django-braces is stable and time-tested. It does not receive a lot of updates and is not in active development. django-braces also only officially supports Python versions that are still receiving fixes and Django LTS versions. django-braces will work with a most modern... -
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gTTS
Python library and CLI tool to interface with Google Translate
...It supports customizable text pre-processors, which can correct pronunciations, tweak formatting, or handle domain-specific vocabulary before sending it to the API. gTTS is primarily aimed at developers who want a quick way to add cloud-backed speech to scripts, apps, or pipelines without managing any model weights locally. A small CLI utility, gtts-cli, makes it easy to test or batch-generate MP3 files right from the shell. -
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UniMate
UniMate: One Unified Model to Animate Diverse Skeletons
...The accompanying UniML3D dataset contains 13,006 text-paired motion sequences with unified skeletal canonicalization. Inference can generate motion for unseen skeleton topologies without per-skeleton retraining or test-time optimization. The same model supports text-guided motion editing, in-betweening, and longer motion expansion. Training, inference, data processing, and preview checkpoints are provided for research use. -
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5
iFixAi
Independent Auditing of AI Agents
...A standard run performs 32 inspections across five evaluation pillars and produces an A-to-F grade. Users can configure and launch audits through a guided CLI, explicit command flags, or an agent plugin and skill. The same engine can test hosted providers or a real agent endpoint and can use self-grading, an independent judge, or a multi-judge ensemble. Results are delivered as JSON, Markdown, and terminal scorecards for review or automation. Saved configuration supports repeatable local runs, onboarding, and CI workflows. -
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code-review-graph
Local-first code intelligence graph for MCP and CLI
Code Review Graph is a local-first code intelligence tool that builds a persistent structural map of a software repository. It parses source files with Tree-sitter and stores functions, classes, imports, calls, inheritance, and test relationships in a SQLite graph. When code changes, blast-radius analysis identifies the callers, dependents, and tests most likely to be affected. AI coding assistants can query this focused context through MCP instead of repeatedly scanning an entire codebase. Incremental indexing reparses only changed files and their relevant dependencies, making it practical for large repositories and monorepos. ... -
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TabFM
scikit-learn compatible tabular foundation model
...It is designed to work with mixed numerical and categorical columns without requiring a custom training run for every new table. Instead of fitting model weights to the user’s dataset, TabFM uses in-context learning by reading training examples and test rows together at inference time. The library provides scikit-learn-compatible classifier and regressor interfaces, which makes it familiar for data scientists already using Python ML workflows. It supports both JAX and PyTorch backends and can automatically download pretrained TabFM v1.0.0 weights. The project is useful for practitioners who want strong tabular predictions with less manual feature engineering, tuning, and repeated model training. -
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invisible_playwright
Anti-Detect Browser that passes every bot detection test
invisible_playwright is a stealth browser automation project that presents itself as a drop-in Playwright replacement built around a patched Firefox browser. It is designed to preserve Playwright-style automation while reducing the browser fingerprints that automated sessions often expose. The project targets advanced browser testing, AI browser workflows, and automation scenarios where normal headless browsers may be blocked or classified as bots. It includes claims about passing common... -
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GoPay Workflow Orchestrator
Lightweight process orchestration framework for regional payment
...It includes an orchestrator-style structure and supporting utilities, including an OTP-forwarding component for controlled testing environments. Because it interacts with payment and verification flows, it should only be used with accounts, systems, and test cases the user is authorized to operate. Its main purpose is payment integration analysis, automated testing, and workflow observability. -
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10
bu-agent-sdk
An agent is just a for-loop
...The SDK emphasizes simplicity and control, avoiding heavy orchestration frameworks and instead letting developers specify exactly what tools an agent can employ and how it should signal task completion. This lightweight design means developers can rapidly prototype AI agent behavior, test custom tools, and integrate models like Anthropic’s Claude with minimal overhead. -
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Manim Skills Repository
Agent skills for Manim to create 3Blue1Brown style animations
...The project aims to wrap common animation logic into structured skills that can be invoked programmatically, reducing boilerplate and allowing creators to focus on creative content rather than low-level animation setup. With clear installation instructions and a collection of test cases, it’s approachable for developers comfortable with Python and interested in educational or technical visualization. -
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Meta Agents Research Environments (ARE)
Meta Agents Research Environments is a comprehensive platform
...Unlike static benchmarks, ARE supports environments where agents must adapt to changes over time and reason over sequences of actions. It interacts with applications and faces uncertainty. The included Gaia2 benchmark offers 800 scenarios across multiple “universes”. It can test reasoning, memory, tool use, and adaptability. Integration with simulated applications/agent APIs (email, file system, etc.). Support for multiple AI model backends/providers. -
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Wemake Django Template
Bleeding edge django template focused on code quality and security
...Development should be consistent, so we use strict quality and style checks. Development, testing, and production should have the same environment, so again we develop, test, and run our apps in docker containers. Documentation and codebase are the only sources of truth. This template is oriented on big projects, when there are multiple people working on it for a long period of time. -
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promptmap2
A security scanner for custom LLM applications
...Its scanning workflow uses a dual-LLM architecture in which one model acts as the target being tested and another acts as a controller that evaluates whether an attack succeeded. The repository emphasizes broad coverage, including test rules for prompt stealing, jailbreaks, harmful content generation, hate-related outputs, social bias, and distraction attacks. It also supports multiple providers such as OpenAI, Anthropic, Google, xAI, and open-source models through Ollama, making it flexible for both commercial and local deployments. -
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PyTorch Geometric Temporal
Spatiotemporal Signal Processing with Neural Machine Learning Models
The library consists of various dynamic and temporal geometric deep learning, embedding, and Spatio-temporal regression methods from a variety of published research papers. Moreover, it comes with an easy-to-use dataset loader, train-test splitter and temporal snaphot iterator for dynamic and temporal graphs. The framework naturally provides GPU support. It also comes with a number of benchmark datasets from the epidemiological forecasting, sharing economy, energy production and web traffic management domains. Finally, you can also create your own datasets. The package interfaces well with Pytorch Lightning which allows training on CPUs, single and multiple GPUs out-of-the-box. ... -
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OctoBot
Cryptocurrency trading bot for TA, arbitrage and social trading
OctoBot is a trading robot that is designed to be easy to use and infinitely customizable. OctoBot is built for people who don't have much time or do not easily trust crypto-world projects. Many trading automation tools exist but most of them are complicated to use, expensive, do not behave as intended, or are meant to be used by professional traders. Moreover, when a favorable trend is spotted, it can be difficult to maximize profit from it: trading takes a lot of time, and when it's done... -
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Recommenders
Best practices on recommendation systems
...Several utilities are provided in reco_utils to support common tasks such as loading datasets in the format expected by different algorithms, evaluating model outputs, and splitting training/test data. Implementations of several state-of-the-art algorithms are included for self-study and customization in your own applications. Please see the setup guide for more details on setting up your machine locally, on a data science virtual machine (DSVM) or on Azure Databricks. Independent or incubating algorithms and utilities are candidates for the contrib folder. ... -
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ARC-AGI-1 Task Generator
Generates original ARC-AGI-1-style tasks distribution-matched
...The project is intended to complement public benchmark scores by testing whether reasoning abilities transfer to newly generated examples. Generated tasks use the standard ARC train-and-test JSON structure. This makes the output compatible with existing ARC evaluation harnesses and analysis pipelines. The repository also includes scripts for labeling, describing, visualizing, and generating tasks, including stratified generation. It was developed alongside research on BDH-CQ and recurrent latent reasoning. -
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Kaggle Python Docker
Kaggle Python docker image
Kaggle Python Docker is Kaggle’s official Docker image repository for the Python environment used by Kaggle Notebooks. It contains the Dockerfiles and build configuration for both CPU-only and GPU-enabled notebook images. The project helps users understand, reproduce, and test against the same Python environment that powers Kaggle’s cloud notebooks. It includes a large curated package set for data science, machine learning, visualization, notebooks, and scientific computing. The images are useful for developers who want local or CI environments that closely match Kaggle’s runtime before submitting notebooks or sharing work. ... -
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Yao Open Prompts
A Chinese AI prompt vocabulary covering work, learning, content, etc.
...The library includes prompts for meta-prompt generation, business productivity, learning methods, content operations, marketing, GEO strategy, web reverse engineering, product prototyping, and critical thinking. It is designed as a practical catalog that users can browse, copy, adapt, and test in their preferred AI model. The project also includes templates, references, maintenance checklists, scripts, and a complete catalog for easier navigation. -
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AutoAgent AI
Autonomous harness engineering
AutoAgent is an experimental AI framework focused on autonomous agent engineering, where a meta-agent iteratively improves another agent’s architecture without direct human intervention. Instead of manually tuning prompts or workflows, developers define high-level goals in a configuration file, and the system continuously modifies its own tools, orchestration, and logic based on benchmark performance. It operates through a loop of testing, analyzing failures, and refining the agent’s... -
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Ollama RAG Chatbot
Chat with multiple PDFs locally
...The project is framed as an experiment, but its setup and packaging make it approachable for practical local use as well. It supports running on a local machine or in Kaggle, which lowers the barrier for users who want to test RAG workflows without building everything from scratch. Model support is flexible, with compatibility for both Hugging Face models and Ollama-based models, and the interface is delivered through Gradio for a lightweight user experience. The main value of the project is its ability to process multiple PDF inputs and turn them into a question-answering workflow centered on document retrieval. ... -
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Kiln
Open source platform for managing, testing, and deploying AI apps
Kiln is an open source platform designed to help developers build, evaluate, and deploy AI-powered applications with greater structure and reliability. It provides a unified environment for managing prompts, datasets, and evaluation workflows, allowing teams to iterate on AI behavior in a controlled and measurable way. Kiln emphasizes reproducibility, enabling users to track changes to prompts and models while comparing outputs across different configurations. Kiln also supports systematic... -
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FireRedASR
Open-source industrial-grade ASR models
FireRedASR is an industrial-grade family of open-source automatic speech recognition models designed to provide high-precision speech-to-text performance across languages including Mandarin, English, and various Chinese dialects, achieving new state-of-the-art benchmarks on public test sets. The project includes multiple model variants to meet different application needs, such as high-accuracy end-to-end interaction using an encoder-adapter-LLM framework and efficient real-time recognition using attention-based encoder-decoder architectures, giving developers flexibility in balancing performance and resource constraints. ... -
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Nevergrad
A Python toolbox for performing gradient-free optimization
Nevergrad is a Python library for derivative-free optimization, offering robust implementations of many algorithms suited for black-box functions (i.e. functions where gradients are unavailable or unreliable). It targets hyperparameter search, architecture search, control problems, and experimental tuning—domains in which gradient-based methods may fail or be inapplicable. The library provides an easy interface to define an optimization problem (parameter space, loss function, budget) and...
