saitejamalyala Goto Github PK
Name: s_teja
Type: User
Location: United Kingdom
Name: s_teja
Type: User
Location: United Kingdom
Modified A-star algorithm combined with CNNs to solve pathplanning problem for inputs of perception images.
A simple example of using Microsoft AirSim to train a TensorFlow neural net on collision avoidance
Locally run an Instruction-Tuned Chat-Style LLM
Awesome Docker Compose samples
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome TensorFlow Lite models, samples, tutorials, tools and learning resources.
Bit plane extracted moving object detection using frame comparison, also consists of conventional methods like Frame differencing and optical flow
Place where folks can contribute to 🤗 community events
Official TensorFlow code for the paper "DeepWay: a Deep Learning Waypoint Estimator for Global Path Generation".
Disease Grading: Classification of fundus images according to the severity level of diabetic retinopathy Using Convolutional Neural Networks.
An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
End to End machine learning workflow
The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.
A collection of useful .gitignore templates
Human activity recognition Using Recurrent Neural Networks. To classify human activities into 3 static activities, 3 dynamic activities and 6 postural transitions.
:mag: Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT and alike). Haystack offers production-ready tools to quickly build complex decision making, question answering, semantic search, text generation applications, and more.
InjectTFParallel is a python based software that helps to test the reliability of non-sequential deep learning models. Hardware faults like bit flips, flip to all zeroes can be simulated with the help of this software. One can specify the layer name where the fault is to be injected, fault type and probability of fault injection in a configuration file in yaml format. The model is evaluated with the fault injected into the specified layer and accuracy, loss and confusion matrix is computed. Intermediate layer outputs can also be visualized, so as to get better understanding of the overall behavior of the model while injecting fault.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
100 exercises to learn JAX
End 2 end machine learning project using a sample dataset from kaggle/adzuna
A Kitti Road Segmentation model implemented in tensorflow.
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
machine learning and deep learning tutorials, articles and other resources
Magenta: Music and Art Generation with Machine Intelligence
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.