Search Results for "train" - Page 7
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Showing 550 open source projects for "train"
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1
Deep Java Library (DJL)
An engine-agnostic deep learning framework in Java
...You don't have to be a machine learning/deep learning expert to get started. You can use your existing Java expertise as an on-ramp to learn and use machine learning and deep learning. You can use your favorite IDE to build, train, and deploy your models. DJL makes it easy to integrate these models with your Java applications. Because DJL is deep learning engine agnostic, you don't have to make a choice between engines when creating your projects. You can switch engines at any point. To ensure the best performance, DJL also provides automatic CPU/GPU choice based on hardware configuration. -
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Synapse Machine Learning
Simple and distributed Machine Learning
SynapseML (previously MMLSpark) is an open source library to simplify the creation of scalable machine learning pipelines. SynapseML builds on Apache Spark and SparkML to enable new kinds of machine learning, analytics, and model deployment workflows. SynapseML adds many deep learning and data science tools to the Spark ecosystem, including seamless integration of Spark Machine Learning pipelines with the Open Neural Network Exchange (ONNX), LightGBM, The Cognitive Services, Vowpal Wabbit,... -
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Amazon SageMaker Examples
Jupyter notebooks that demonstrate how to build models using SageMaker
Welcome to Amazon SageMaker. This projects highlights example Jupyter notebooks for a variety of machine learning use cases that you can run in SageMaker. If you’re new to SageMaker we recommend starting with more feature-rich SageMaker Studio. It uses the familiar JupyterLab interface and has seamless integration with a variety of deep learning and data science environments and scalable compute resources for training, inference, and other ML operations. Studio offers teams and companies... -
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Agents 2.0
An Open-source Framework for Data-centric Language Agents
Agents is an open-source framework designed to build and train autonomous language agents through a data-centric and learning-oriented architecture. The project introduces a concept known as agent symbolic learning, which treats an agent pipeline similarly to a neural network computational graph. In this framework, each node in the pipeline represents a step in the reasoning or action process, while prompts and tools act as adjustable parameters analogous to neural network weights. ... -
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MedicalGPT
MedicalGPT: Training Your Own Medical GPT Model with ChatGPT Training
MedicalGPT training medical GPT model with ChatGPT training pipeline, implementation of Pretraining, Supervised Finetuning, Reward Modeling and Reinforcement Learning. MedicalGPT trains large medical models, including secondary pre-training, supervised fine-tuning, reward modeling, and reinforcement learning training. -
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Phenaki - Pytorch
Implementation of Phenaki Video, which uses Mask GIT
...It will also combine another technique involving a token critic for potentially even better generations. A new paper suggests that instead of relying on the predicted probabilities of each token as a measure of confidence, one can train an extra critic to decide what to iteratively mask during sampling. This repository will also endeavor to allow the researcher to train on text-to-image and then text-to-video. Similarly, for unconditional training, the researcher should be able to first train on images and then fine tune on video. -
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TCNOpen
Components for IEC61375 standardised communication
TCNOpen is an open source initiative which the partner railway industries created with the aim to build in collaboration some key parts of new or upcoming railway standards, commonly known under the name TCN. TCN (Train Communication Network) is a series of international standards (IEC61375) developed by Working Group 43 of the IEC (International Electrotechnical Commission), specifying a communication system for the data communication within and between vehicles of a train. It is currently in use on many thousands of trains in the world in order to allow electronic devices to exchange information while operating aboard the same train. ... -
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iQitar
Plan your next train trip
قطار ديزاد is a custom Android browser wrapper designed to enhance the experience of using the SNTF (Société Nationale des Transports Ferroviaires) train scheduling website. It provides a cleaner interface and intelligent filtering features for commuters. -
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DeepSqueak
DeepSqueak Using Machine Vision to Accelerate Bioacoustics Research
Using Machine Vision to Accelerate Bioacoustics Research. -
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Raster Vision
Open source framework for deep learning satellite and aerial imagery
Raster Vision is an open source framework for Python developers building computer vision models on satellite, aerial, and other large imagery sets (including oblique drone imagery). There is built-in support for chip classification, object detection, and semantic segmentation using PyTorch. Raster Vision allows engineers to quickly and repeatably configure pipelines that go through core components of a machine learning workflow: analyzing training data, creating training chips, training... -
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Tux Paint
An award-winning drawing program for children of all ages
...Along with paintbrush, shapes and text, Tux Paint includes a "stamp" feature to add pre-drawn or photographic imagery to pictures, and a set of "magic tools" that provide filter effects (like blur, tint and waves) and interesting drawing tools (like train tracks, bubbles and grass). Tux Paint includes a collection of "starter" images, both coloring-book style and photo-realistic, and a large collections of stamps are available as a separate download. Additional content can be added by parents & teachers, or downloaded from 3rd parties. Tux Paint is available for Windows, macOS, Android, Linux, & Haiku operating systems, among others. -
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buchess
Bu chess An easy way to play and train chess on your PC
The program has 56 engines prepared to play from the start, and with very different levels, from 0 to 3500 elo. This list of engines is not closed and you can add other ones with the only limitation that they use the UCI protocol. -
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microDuck/esp32-Command Center
A powerful and customizable esp32/microduck command center.
Customize the behavior of your bot in real time. Train on a Neural Network. Send and receive information to the micro-device. This is a powerful program and will be worked on for a while to come. -
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FragGeneScan is an application for finding (fragmented) genes in short reads. It can also be applied to predict prokaryotic genes in incomplete assemblies or complete genomes. FragGeneScan was first released through omics website (http://omics.informatics.indiana.edu/FragGeneScan/) in March 2010, where you can find its old releases. FragGeneScan migrated to SourceForge in October, 2013.
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ChessForge
Chess analysis, training and testing for Windows.
Chess Forge is a Free and Open Source Windows desktop application facilitating chess training. Use Chess Forge to build your opening repertoire, study endgames, strategy and tactics. Utilize the two distinct solving modes and also Chess Forge's unique Training Mode where you get tested against the workbook's content with the help of the engine. Installation info: https://github.com/czbar/ChessForge/wiki/Installation PDF Manual:... -
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LLM101n
LLM101n: Let's build a Storyteller
...The materials favor compact, readable code and incremental steps, so learners can verify each concept before moving on. You’ll see how data pipelines, batching, masking, and positional encodings fit together to train a small GPT-style model end to end. The repo often complements explanations with runnable notebooks or scripts, encouraging experimentation and modification. By the end, the focus is less on polishing a production system and more on internalizing how LLM components interact to produce coherent text. -
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Program suite for model railroaders, mainly to support operation on modular railroad setups, features model time clock, computer based train dispatching and more
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Matcha-TTS
A fast TTS architecture with conditional flow matching
...The repository provides an end-to-end TTS pipeline: a PyTorch/Lightning training stack, configuration files, pre-trained checkpoints, a command-line interface, and a Gradio app for interactive testing. Users can train on standard datasets like LJSpeech or plug in their own corpora, with helper tools for computing dataset statistics, extracting phoneme durations, and running multi-GPU training. -
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kolosal
Open Source and Lightweight Local LLM Platform
Kolosal AI is the leading open-source local LLM platform. Download, train, and run local LLM models on your device with no cloud dependencies. An opensource and lightweight alternative to LM Studio. -
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Simple Russian Typing Trainer
A simple program to train to type in Russian.
NEWS: Because of closing the Russian House in Berlin, I decided to continue working on this project and start V2 to make it more effective to learn typing on russian keyboard layouts. --- A simple trainer for those who already can type with ten fingers and want to learn to type in Russian language on their own keyboards. You do not need a real russian keyboard on your computer. See how-to-use-file. In case of needing help, bug report or translation mistakes, please use the forum here on... -
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Chess-gambiteer
Chess training program playing gambits
Program to train against gambit play (*) with the computer, with a strength adjustable chess engine (Danasah, currently set at approx 1400 EL0 when playing against it). Also included now are two options to watch an engine e.g. the 'aggressive' Patricia5 (with gambits) play against another engine (eg IM level). The engine gambit books are made in such a way that 1) real lousy gambits are not played, and 2) the book is choosing a gambit line as often as possible, so for Black it might go for e.g. a Benko gambit or so and if you let it play with White, a lot of 1.e4 gambits can be played. ... -
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OpenFieldAI - AI Open Field Test Tracker
OpenFieldAI is an AI based Open Field Test Rodent Tracker
OpenFieldAI use AI-CNN to track rodents movement with pretrained OFAI models , or user could create their own model with YOLOv8 for inferencing. The software generates Centroid graph, Heat map and Line path and a spreadsheet containing all calculated parameters like - Speed - Time in and out of ROI - Distance - Entries/Exits for single/multiple pre-recorded videos or live webcam video. The ROI is assigned automatically in multiple video input , and can be manually given in single... -
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Abscom
A C11 library of reusable data structures and platform utilities.
...A data science layer adds NumPy-style reshaping and generators, Pandas-style numeric CSV, functional utils, and SciKit-Learn-style preprocessing (one-hot encoding, train/test split). An AI/ML layer adds activations, softmax, MSE loss, and numerical gradients for neural-network forward passes. An ultimate layer tops the scientific stack off with computational backend selection (CPU / AVX SIMD / GPU stub), a Micrograd-style scalar autograd engine. -
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seq2seq-couplet
Play couplet with seq2seq model
...Its purpose is not general machine translation, but a specialized text generation task in which the model produces a matching second line for a given first line in the style of traditional couplets. The repository includes the code needed to train the model, configure file paths and hyperparameters, and evaluate progress through loss and BLEU score tracking. It also supports serving the trained model through a web service, allowing users to interact with the system after training is complete. In addition to local execution, the project includes Docker files, which make it easier to package and deploy the application in a more reproducible way. ... -
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Bean Network Tester
Simulate bad network conditions on Windows - latency, packet loss
Bean Network Tester is a tool for testers and developers: check how your application behaves on a poor connection. Like Clumsy or NetLimiter, it lets you deliberately degrade the network - add ping, drop packets, cap the speed, tear connections down, and more. It works by intercepting traffic with the WinDivert driver (via PyDivert), and offers both a clear windowed interface with tooltips and a command-line mode for CI. https://beannetworktester.donislawdev.com/
