Search Results for "input-leap" - Page 12
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Showing 574 open source projects for "input-leap"
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MONITOR BINANCE LIQUIDATIONS
Real-time monitoring of futures liquidations on the Binance exchange.
✅ Requirements: WINDOWS 10 🆓 FREEWARE 🟢 REAL-TIME MONITORING OF FUTURES LIQUIDATIONS ON THE BINANCE EXCHANGE. 🟢 МОНИТОРИНГ ЛИКВИДАЦИЙ ФЬЮЧЕРСОВ НА БИРЖЕ BINANCE В РЕЖИМЕ РЕАЛЬНОГО ВРЕМЕНИ. ⚫ Use a FILTER to monitor the coins you need. Input currency pairs from one or more into the filter. To monitor several coins, in the filter field input them one by one with a comma separator. FOR EXAMPLE: BTCUSDT,ETHUSDT,CfxUSdt You can enter both uppercase and lowercase letters. ⚫ The data is saved to a file (binance_liqquidation.csv) located in the same folder as the program. ... -
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TensorFlow Documentation
TensorFlow documentation
An end-to-end platform for machine learning. TensorFlow makes it easy to create ML models that can run in any environment. Learn how to use the intuitive APIs through interactive code samples. -
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Sezioni
Python tool for section property evaluation and stress calculation
This software is a basic tool for section property evaluation and stress calculation, written in python. The section can be imported or input by points and then can be modified moved, rotated etc.. Area and section inertia can be exported. Loads can be applied (multiple load cases can be imported) and the related stresses are calculated by mean of De Saint Venant formulas. Results are plot with selectable color maps. Point results are listed and may be exported. Section can be also input in Nastran style and then exported to a .bdf format file. -
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Image Downloader
Download images from Google, Bing, Baidu
Crawl and download images using Selenium Using python3 and PyQt5. Supported Search Engine: Google, Bing, Baidu. Keywords input from the keyboard or input from line separated keywords list file for batch process. Download image using a customizable number of threads. Fully supported conditional search (eg. filetype:, site:). Switch for Google safe mode. Proxy configuration (socks, HTTP). CMD and GUI ways of using are provided. -
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DBRplot
Plots reflectivity response of Distributed Braggs Reflector mirrors
...Also, have a look at the "Fabry-Perot cavity" diagram to get a feel of the structure of your cavity. The code is written based on the Transfer Matrix Method for TE incidence. Clever insertion of the input parameters in the GUI will let you simulate the reflectivity response of many physical systems on a substrate such as various DBR mirror cavities and DBR mirrors. The future release includes: 1. Complete flexibility on the cavity thickness 2. Surface plots of reflectance against angle and wavelength 3. Reflectance response in the presence of light-matter coupling by introducing multiple QWs inside the cavity. 4. ... -
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ConvertText
ConvertText lets anyone change the case of your text easily.
ConvertText is a very handy text tool where you can change between cases like Uppercase, Title Case, Random Case, Reverse Text, Backwards Text, Phonetic Alphabet and 1337 (Leet Speak). -
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Simple LLM Finetuner
Simple UI for LLM Model Finetuning
...It allows users to customize pre-trained models using relatively small datasets and modest hardware, making it feasible to experiment with LLM training even on consumer-grade GPUs or cloud environments like Google Colab. The tool includes a web-based interface where users can input datasets, configure training parameters, and run fine-tuning jobs without deep knowledge of machine learning pipelines. It leverages libraries such as Hugging Face PEFT to enable efficient adaptation of models by modifying only a subset of parameters, significantly reducing computational requirements. In addition to training, the platform provides inference capabilities so users can immediately test and evaluate their fine-tuned models within the same environment. -
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Hyperformer
Hypergraph Transformer for Skeleton-based Action Recognition
...More recently, a limitation of GCNs is identified, i.e., the topology is fixed after training. To relax such a restriction, Self-Attention (SA) mechanism has been adopted to make the topology of GCNs adaptive to the input, resulting in the state-of-the-art hybrid models. Concurrently, attempts with plain Transformers have also been made, but they still lag behind state-of-the-art GCN-based methods due to the lack of structural prior. -
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Alphabetizer
Take a list of words or sentences and arrange them alphabetically.
Alphabetizer lets anyone take a list of words or sentences and arranged them in alphabetical order easily. Alphabetizer is a tool that takes a list of words or phrases and arranged them in alphabetical order. This tool is useful for organizing information, creating glossaries, sorting names, or any task where the items in a list need to be in alphabetical order. Overall, Alphabetizer can save time and effort by quickly organizing information and making it easier to read and comprehend. -
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ArtLine
Deep learning tool that converts portrait photos into line art
ArtLine is a deep learning-based project focused on generating high-quality line art portraits from input images. It leverages neural network techniques built on top of the fastai library and PyTorch to transform photographic portraits into stylized line drawings. ArtLine is trained using datasets such as APDrawing and anime sketch colorization pairs to better understand facial structures and artistic line representation. An extended version integrates ControlNet, allowing users to guide the output style through textual instructions alongside the input image. ... -
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FuzzBench
FuzzBench - Fuzzer benchmarking as a service
FuzzBench is a large-scale, open research platform developed by Google to evaluate and benchmark fuzzers — automated software testing tools that detect vulnerabilities through randomized input generation. It provides a standardized, reproducible environment for comparing the performance and effectiveness of different fuzzing algorithms on real-world software targets. FuzzBench integrates with the OSS-Fuzz infrastructure, allowing it to run experiments on authentic open source projects and collect meaningful data on crash discovery rates, code coverage, and bug-finding efficiency. ... -
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Bulk Image Optimizer and Converter
Imagine having all your images well compressed and optimized :)
Bulk Image Optimizer and Converter (Portable Executable) It allows users to choose the output format (JPEG, PNG, or WebP), set the desired image quality, and remove EXIF data. The optimized images are saved in a separate folder named "optimized" within the input folder. The tool displays progress information, including the number of images processed, the average compression ratio, and the total space saved. -
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Neural Network Visualization
Project for processing neural networks and rendering to gain insights
...It provides an interactive, graphical representation of how data flows through neural network layers, offering a unique educational experience for those new to deep learning or looking to explain it visually. By animating input, weights, activations, and outputs, the tool demystifies neural network operations and helps users intuitively grasp complex concepts. Its lightweight codebase is great for customization and teaching purposes. -
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CodeContests
Large dataset of coding contests designed for AI and ML model training
...CodeContests aggregates problems and human-written solutions from multiple programming competition platforms, including AtCoder, Codeforces, CodeChef, Aizu, and HackerEarth. Each problem includes structured metadata, problem descriptions, paired input/output test cases, and multiple correct and incorrect solutions in various programming languages. The dataset is distributed in Riegeli format using Protocol Buffers, with separate training, validation, and test splits for reproducible machine learning experiments. -
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CPT
CPT: A Pre-Trained Unbalanced Transformer
A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation. We replace the old BERT vocabulary with a larger one of size 51271 built from the training data, in which we 1) add missing 6800+ Chinese characters (most of them are traditional Chinese characters); 2) remove redundant tokens (e.g. Chinese character tokens with ## prefix); 3) add some English tokens to reduce OOV. Position Embeddings We extend the max_position_embeddings from 512 to 1024. We... -
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footswitch3basic
Audio Transcription software for Linux (Gstreamer) with a foot pedal
...There are timestamp macros, along with media player control macros for Play/Pause toggle Jump backwards Jump forwards Slower Faster Normal Audio speed Jump to timestamp This is the "BASIC" version stripped of some of the bells and whistles. As fs3 Basic uses LibreOffice for the transcription input, it means you are working in a world class editor, which can produce output files in most popular formats including MS Word files. -
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footswitch2basic
Audio Transcription software for Linux (Vlc) with a foot pedal
...This allows the transcriber to control the media player from within Libreoffice as well, making it useful for those who do not yet own a foot pedal. Control of the media player from LibreOffice can be via Hotkeys or an integrated toolbar. As fs2 Basic uses LibreOffice for the transcription input, it means you are working in a world class editor, which can produce output files in most popular formats including MS Word files. If moving from Footswitch2 to Footswitch2 Basic, any existing database files will be converted for you. -
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Shennina
Automating Host Exploitation with AI
...Shennina is integrated with Metasploit and Nmap for performing the attacks, as well as being integrated with an in-house Command-and-Control Server for exfiltrating data from compromised machines automatically. Shennina scans a set of input targets for available network services, uses its AI engine to identify recommended exploits for the attacks, and then attempts to test and attack the targets. If the attack succeeds, Shennina proceeds with the post-exploitation phase. The AI engine is initially trained against live targets to learn reliable exploits against remote services. ... -
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Emb-GAM
An interpretable and efficient predictor using pre-trained models
...In contrast, generalized additive models (GAMs) can maintain interpretability but often suffer from poor prediction performance due to their inability to effectively capture feature interactions. In this work, we aim to bridge this gap by using pre-trained neural language models to extract embeddings for each input before learning a linear model in the embedding space. The final model (which we call Emb-GAM) is a transparent, linear function of its input features and feature interactions. Leveraging the language model allows Emb-GAM to learn far fewer linear coefficients, model larger interactions, and generalize well to novel inputs. Across a variety of natural-language-processing datasets, Emb-GAM achieves strong prediction performance without sacrificing interpretability. -
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Moriarty Project
Web-based OSINT tool for investigating phone number information
Moriarty Project is an open source web-based investigation tool designed to gather publicly available information about phone numbers. It allows users to input a phone number and analyze various details related to that number through multiple investigation features. It performs information gathering by scraping data from online sources to retrieve insights such as owner information, spam risk, and related web references. Users can select specific investigation features to run individually or execute all available checks at once depending on their needs. ... -
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DiffSinger
Singing Voice Synthesis via Shallow Diffusion Mechanism
DiffSinger is an open-source PyTorch implementation of a diffusion-based acoustic model for singing-voice synthesis (SVS) and also text-to-speech (TTS) in a related variant. The core idea is to view generation of a sung voice (mel-spectrogram) as a diffusion process: starting from noise, the model iteratively “denoises” while being conditioned on a music score (lyrics, pitch, musical timing). This avoids some of the typical problems of prior SVS models — like over-smoothing or unstable GAN... -
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Auto-PyTorch
Automatic architecture search and hyperparameter optimization
While early AutoML frameworks focused on optimizing traditional ML pipelines and their hyperparameters, another trend in AutoML is to focus on neural architecture search. To bring the best of these two worlds together, we developed Auto-PyTorch, which jointly and robustly optimizes the network architecture and the training hyperparameters to enable fully automated deep learning (AutoDL). Auto-PyTorch is mainly developed to support tabular data (classification, regression) and time series... -
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Talking Head Anime from a Single Image
Demo for the "Talking Head Anime from a Single Image"
Talking Head Anime from a Single Image is a machine learning project that demonstrates how neural networks can animate anime characters using only a single input image. The system generates animated facial expressions and movements by applying pose transformations to a static image of an anime character. The underlying model uses deep learning techniques to predict how different facial features and body parts should move based on pose parameters or input signals. This allows the software to create realistic animated frames while preserving the identity and appearance of the original character. ... -
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nlpaug
Data augmentation for NLP
This Python library helps you with augmenting nlp for your machine learning projects. Visit this introduction to understand Data Augmentation in NLP. Augmenter is the basic element of augmentation while Flow is a pipeline to orchestra multi augmenters together. -
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CapitalGainsCalc
Converts simple lists of lots and sales into a TXF file
...Some institutions provide limited export capabilities such as CSV or excel export but this is not easy to translate into tax preparation software. These python scripts convert two simple to generate input files BuyLots.csv and Sales.csv into a .TXF file that can be imported into tax prep software and a second RemainingLots.csv that can be used for next year. The scripts automatically calculate the First In First Out lots for every sale and properly tag them in the TXF format ( https://turbotax.intuit.com/txf/TXF042.jsp ). Also are scripts for: Lending Club - https://www.lendingclub.com/ Coinbase - https://www.coinbase.com/ Kraken - https://www.kraken.com/
