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Showing 1792 open source projects for "no code"
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Machine Learning with TensorFlow
Accompanying source code for Machine Learning with TensorFlow
Machine Learning with TensorFlow is an open repository containing the source code and practical examples that accompany the book Machine Learning with TensorFlow. The project provides numerous code samples demonstrating how to build machine learning models using the TensorFlow framework. These examples illustrate core machine learning concepts such as regression, classification, clustering, and neural networks through practical implementations. -
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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. -
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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. -
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Deep-Learning-with-PyTorch-Tutorials
Deep Learning and PyTorch Introduction Video Tutorial with Source Code
Deep-Learning-with-PyTorch-Tutorials is a companion repository for an introductory deep learning course built around PyTorch. It provides source code, notebooks, and presentation materials for a practical video-based learning path. The lessons begin with PyTorch setup, tensors, indexing, mathematical operations, gradients, and basic optimization. They then move into neural networks, logistic regression, multilayer perceptrons, CNNs, ResNet, RNNs, LSTMs, autoencoders, VAEs, GANs, graph convolutional networks, and transfer learning. ... -
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Dive-into-DL-TensorFlow2.0
Dive into Deep Learning
...In addition, this project also refers to the project Dive-into-DL-PyTorch , which refactored PyTorch in the Chinese version of this book, and I would like to express my gratitude here. This repository mainly contains two folders, code and docs (plus some data stored in data). The code folder is the relevant jupyter notebook code for each chapter (based on TensorFlow2); the docs folder is the relevant content in the book. -
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PyTorch Natural Language Processing
Basic Utilities for PyTorch Natural Language Processing (NLP)
...It’s open-source software, released under the BSD3 license. With your batch in hand, you can use PyTorch to develop and train your model using gradient descent. 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. -
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gpt2-client
Easy-to-use TensorFlow Wrapper for GPT-2 117M, 345M, 774M, etc.
...Finally, gpt2-client is a wrapper around the original gpt-2 repository that features the same functionality but with more accessiblity, comprehensibility, and utilty. You can play around with all four GPT-2 models in less than five lines of code. Install client via pip. The generation options are highly flexible. You can mix and match based on what kind of text you need generated, be it multiple chunks or one at a time with prompts. -
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Image Quality Assessment
Convolutional Neural Networks to predict aesthetic quality of images
...Instead of relying on simple image statistics, the system learns patterns that correlate with human judgments about image aesthetics and technical quality. The repository includes code for training models, performing inference, and evaluating predicted scores against labeled datasets. It also provides utilities for image preprocessing and data management that help prepare datasets for training deep learning models. -
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perkun
two experimental AI languages + zubr
...Attempt to maximize the expected value of the payoff function by appropriate choosing the actions (output variables values). The package contains also a tool called zubr - a Java code generator based on Perkun. Take also a look at my blog: http://pawel-biernacki.blogspot.fi/ For Windows users there is an installer: http://www.pawelbiernacki.net/perkun.msi -
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Machine Learning From Scratch
Bare bones NumPy implementations of machine learning models
...The repository includes implementations of algorithms ranging from simple models such as linear regression and logistic regression to more complex techniques such as decision trees, support vector machines, clustering methods, and neural networks. Because the code avoids external machine learning libraries, it exposes the full logic behind model training, optimization, and prediction processes. The project also provides examples and explanations that illustrate how the algorithms behave and how different components interact during training. -
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MatchZoo
Facilitating the design, comparison and sharing of deep text models
...With the unified data processing pipeline, simplified model configuration and automatic hyper-parameters tunning features equipped, MatchZoo is flexible and easy to use. Preprocess your input data in three lines of code, keep track parameters to be passed into the model. Make use of MatchZoo customized loss functions and evaluation metrics. Initialize the model, fine-tune the hyper-parameters. Generate pair-wise training data on-the-fly, evaluate model performance using customized callbacks on validation data. MatchZoo is dependent on Keras and Tensorflow. -
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nlp-roadmap
ROADMAP(Mind Map) and KEYWORD for students
nlp-roadmap is a visual learning guide for students exploring natural language processing and related foundations. It organizes essential keywords into semantic mind maps rather than presenting a conventional textbook or code library. The material begins with probability and statistics, then progresses through machine learning and text mining. Its final section maps major concepts and methods within natural language processing. The diagrams are intended to suggest a study path, while acknowledging that relationships between topics can be interpreted in different ways. ... -
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Emgu CSharp Face Recognition with Mail Recognizer for $184 full source code? mail dbinxecod@gmail.com It scan and detects faces pass by, so user may register the face, ones the face has been registered and when pass by again, it will recognized if it's normal passer or wanted AND THEN send email to the corresponding address.
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Coursera Machine Learning
Coursera Machine Learning By Prof. Andrew Ng
...It also organizes week-by-week course schedules with links to exercises, lecture notes, and additional resources. Alongside the official coursework, the repository includes supplemental explanations, code snippets, and references to recommended textbooks and external materials. By gathering course-related resources into a single space, this project acts as a practical study companion for learners revisiting or supplementing the original course. -
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Activity Recognition
Resources about activity recognition
This repository is a curated collection of resources, papers, code, and summaries relating to human activity recognition/behavior recognition. It is not a single integrated software package but rather a knowledge base organizing feature extraction methods, deep learning approaches, transfer learning strategies, datasets, and representative research in behavior recognition. The repository includes links to code in MATLAB, Python, summaries of algorithms, datasets, and relevant research papers. ... -
16
GAAS
Autonomous aviation intelligence software for drones and VTOL
...In the long term, GAAS aims to accelerate the coming of autonomous VTOLs. Being a BSD-licensed product, GAAS makes it easy for enterprises, researches, and drone enthusiasts to modify the code to suit specific use cases. Our long-term vision is to implement GAAS in autonomous passenger carrying VTOLs (or "flying cars"). The first step of this vision is to make Unmanned Aerial Vehicles truly "unmanned", and thus make drones ubiquitous. We currently support manned and unmanned multi-rotor drones and helicopters. Our next step is to support VTOLs and eVTOLs. -
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Azure Machine Learning Python SDK
Python notebooks with ML and deep learning examples
...Because it is designed to work with Azure Machine Learning compute instances, many notebooks can be executed directly in the cloud without additional setup, but they can also run locally with the appropriate SDK and packages installed. Each notebook includes code, narrative explanations, and example workflows that help users build reproducible machine learning solutions, which are key for operationalizing models in production. -
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MMF
A modular framework for vision & language multimodal research
...MMF contains reference implementations of state-of-the-art vision and language models and has powered multiple research projects at Facebook AI 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. ... -
19
lgo
Interactive Go programming with Jupyter
...The system supports the full Go language specification and works directly with the standard Go compiler, ensuring compatibility with typical Go development practices. In addition to running code interactively, lgo supports advanced notebook capabilities such as code completion, inspection tools, and rendering of multimedia outputs. -
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OpenCvSharp410 Face Recognition Detect
OpenCvSharp with Cuda + TBB Face Detection Recognition
The site says "Malware detected but NOT TRUE", it's just encrypted! Free Source Code Live Face Detection via Web Camera from OpenCvSharp 3.4.5 with CUDA + TBB Original clean source code structure with FREE binary test. reach out .BIN folder for direct tryout(0penCvSharp345.Cuda.x86.FaceDetect.EXE) Other FOLDER contains Face Recognition of OpenCvSharp410, no CUDA! FOR full source code of ****FACE RECOGNITION**** _ OpenCvSharp4.1.0(released date:April_17_2019), 64 Bit,,,, please donate $54 https://www.paypal.me/SoftwareCode/54 mail dbinxecod@gmail.com for direct link download source code -
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OpenFace
A state-of-the-art facial behavior analysis toolkit
OpenFace is an advanced facial behavior analysis toolkit intended for computer vision and machine learning researchers, those in the affective computing community, and those who are simply interested in creating interactive applications based on facial behavior analysis. The OpenFace toolkit is capable of performing several complex facial analysis tasks, including facial landmark detection, eye-gaze estimation, head pose estimation and facial action unit recognition. OpenFace is able to... -
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EmguCv410 Face Recognition Detect
EmguCv C# OpenCv Cuda Face Recognition + Gender, Emotion, Ethnicity
The site says "Malware detected but NOT TRUE", it's just encrypted! EmguCvSharp Face Detection Full source code: https://sourceforge.net/projects/emgucvsharp-live-face-detect/ . if (CudaInvoke.HasCuda) //THE CODE TO USE CUDA . Emgucv Gender detection Emgucv Emotion detection Emgucv Ethnicity detection Emgucv Face Recognition also includes Pedestrian detection For Live: Face Attendance System, Facial Emotion, Gender Recognition Security Application. ... -
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Delphi Face Recognizer
Delphi Face Recognizer
Delphi Face Recognizer Full Source code of ListBox Bitmap Load and Save from SQLite Database. Binary contains Delphi powerful face recognition. Donate $184 for FULL SOURCE CODE of the Project. mail: dbinXecod@gmail.com if the link is broken here: https://www.paypal.me/dBinXecod/184 Added Feature: X. IP Camera RTSP Connections Real RTSP url link test Real MJPEG url link test Y. -
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Project Malmo
A platform for Artificial Intelligence experimentation on Minecraft
...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. -
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Girls-In-AI
Free learning code series: Xiaobai's introduction to Python
Girls-In-AI is an educational repository created to encourage women and beginners to learn programming and artificial intelligence through accessible tutorials and practice materials. The project provides a collection of beginner-friendly learning resources covering Python programming, data analysis, machine learning, and deep learning topics. It aims to lower the barrier to entry for people who want to enter the field of artificial intelligence by offering structured learning paths and...
