Search Results for "dataset"
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Showing 15 open source projects for "dataset"
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1
nanoGPT
The simplest, fastest repository for training/finetuning models
...It distills the GPT architecture into a few hundred lines of Python code, making it far easier to understand than large, production-scale implementations. The repo is organized with a training pipeline (dataset preprocessing, model definition, optimizer, training loop) and inference script so you can train a small GPT on text datasets like Shakespeare or custom corpora. It emphasizes readability and clarity: the training loop is cleanly written, and the code avoids heavy abstractions, letting students follow the architecture step by step. ... -
2
Gemi
PCR primers / probes design from multiple & degenerate sequences
...Gemi accepts multiple aligned and long DNA and RNA sequences with degenerate nucleotide (non-A/C/G/T bases). Gemi can be used for quantitative, real-time and conventional PCR (qPCR, rt-PCR, etc.), and Sanger sequencing. Gemi can parse large dataset of sequences efficiently. Python source code is available upon request. Milestone: The tool reached about 3000 downloads sine 2012. Article Gemi: PCR primers prediction from multiple alignments. Comparative and functional genomics 2012 PMID: https://www.ncbi.nlm.nih.gov/pubmed/23316117 A great review on designing primer, Gemi, and other tools: Designing degenerate primers: Overview, challenges, and computational methods. ... -
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Summarize from Feedback
Code for "Learning to summarize from human feedback"
...The code includes different stages: a supervised baseline (i.e. standard summarization training), the reward modeling component, and the reinforcement learning (or preference-based fine-tuning) phase. The repo also includes utilities for dataset handling, modeling architectures, inference, and evaluation. Because the codebase is experimental, parts of it may not run out-of-box depending on dependencies or environment, but it remains a canonical reference for how to implement summarization via human feedback. -
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Hello AI World
Guide to deploying deep-learning inference networks
Hello AI World is a great way to start using Jetson and experiencing the power of AI. In just a couple of hours, you can have a set of deep learning inference demos up and running for realtime image classification and object detection on your Jetson Developer Kit with JetPack SDK and NVIDIA TensorRT. The tutorial focuses on networks related to computer vision, and includes the use of live cameras. You’ll also get to code your own easy-to-follow recognition program in Python or C++, and train... -
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5
EduData
Datasets in Education and convenient interface for dataset
Datasets in Education and convenient interface for downloading and preprocessing dataset in education. The CLI tools to quickly convert the "raw" data of the dataset into "mature" data for knowledge tracing task. The "mature" data is in json sequence format and can be modeled by XKT and TKT(TBA) The analysis dataset tool only supports the json sequence format. To check the following statical indexes of the dataset. -
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hubs-research-acm-chi-2021
Supplemental code and dataset for the ACM CHI 2021 paper
Supplemental code and dataset for the ACM CHI 2021 paper on "Proxemics and Social Interactions in an Instrumented Virtual Reality Workshop". In this research paper we instrumented Mozilla Hubs Cloud to record where participants where during the event. From there, we measured proxemic and plotted the activity along with some semi-structured interviews. Virtual environments (VEs) can create collaborative and social spaces, which are increasingly important in the face of remote work and travel reduction. ... -
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Tensorflow 2017 Tutorials
Tensorflow tutorial from basic to hard
Tensorflow 2017 Tutorials is a structured set of tutorials that introduce developers to TensorFlow, starting with basic neural network constructs and progressing to sophisticated model architectures and training techniques. This repository covers essential building blocks like sessions (for older TF versions), placeholders, variables, activation functions, and optimizers, before guiding learners through building end-to-end models for regression, classification, and data pipelines. Beyond the... -
8
wav2letter++
Facebook AI research's automatic speech recognition toolkit
...This is needed because KenLM doesn't support a make install step.wav2letter++ expects audio and transcription data to be prepared in a specific format so that they can be read from the pipelines. Each dataset (test/valid/train) needs to be in a separate file with one sample per line. A sample is specified using 4 columns separated by space (or tabs). -
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palmerpenguins
A great intro dataset for data exploration & visualization
palmerpenguins is an R package offering real-world ecological data from the Palmer Archipelago penguin species—Adélie, Chinstrap, and Gentoo. Designed as a more engaging alternative to the classical iris dataset, it provides size measurements, clutch information, and blood isotope data for teaching, visualization, and analytics practice. -
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10
lottie vectors
Create, display and process 2D vectors in a 3D window.
...This could be a common math symbol or greek letter, start/end signposts, or a number of the position either from the begining or after a reset. After all the information has been loaded for your dataset. Either passed over the command line, or as a text file. Lottie Vectors displays inside a figure that you can resize, rotate and turn 2D positions into a 3D picture. -
11
IGVC IITK Data
Data useful for testing autonomous navigation algorithms
This repository is only used for the purpose of dataset storage for Team IGVC, IITK. For the relevant code, see our GitHub repositories. (https://github.com/igvc-iitk). The recorded data is used for testing various algorithms related to Computer Vision, SLAM, Motion Planning etc. -
12
Yggdrasill
3D Evolutionary Tree Visualization
...Currently available features include procedural tree generation of evolutionary data provided by the Tree of Life (ToL) Web Project (http://tolweb.org/tree/), full three dimensional camera controls as well as a web search, an extinct species overlay and more. Later updates will include the full ToL dataset, improve tree generation and overall accessability, as well as adding access to other datasets. Special thanks go to the Tree of Life Web Project and all its contributors for providing the data and to Unity Technologies for free access to Unity 5. -
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ExData Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
This repository explores household energy usage over time using the “Individual household electric power consumption” dataset from the UC Irvine Machine Learning Repository. The dataset covers nearly four years of minute-level measurements, including power consumption, voltage, current intensity, and detailed sub-metering values for different household areas. For analysis, focus is placed on a two-day period in February 2007, highlighting short-term consumption trends. ... -
14
Athenea is a software used to check programming contest code solutions. It can compile from c++ or java source files, and compares the output with the test dataset defined.
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15
The Campaign Simulator is an attempt to statistically model and predict the outcome of an American presidential election; several users assume the roles of competitive candidates and inflict the repercussions of certain decisions on a GSS based dataset.
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