akhilgakhar Goto Github PK
Name: Akhil Gakhar
Type: User
Bio: Interested in Embedded Systems
Name: Akhil Gakhar
Type: User
Bio: Interested in Embedded Systems
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.
Implement mosaic image augmentation with YOLO format
Project(EE 705)
Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"
Multimodal Unsupervised Image-to-Image Translation
MWPToolkit is an open-source framework for math word problem(MWP) solvers.
⚡Super fast and lightweight anchor-free object detection model. 🔥Only 1.8MB and run 97FPS on cellphone🔥
Torch implementation of neural style algorithm
Contains notebooks for the PAR tutorial at CVPR 2021.
Image-to-image translation with conditional adversarial nets
Synthesizing and manipulating 2048x1024 images with conditional GANs
Analyze and manipulate EEG data using PyEEGLab.
Fork of PyTorch, with improved LBFGS optimizer: line search based step size, full batch and minibatch operation possible. See
Pytorch implementation of convolutional neural network visualization techniques
PyTorch implementation of the CortexNet predictive model
Simple examples to introduce PyTorch
Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
MobileNetV1, MobileNetV2, VGG based SSD/SSD-lite implementation in Pytorch 1.0 / Pytorch 0.4. Out-of-box support for retraining on Open Images dataset. ONNX and Caffe2 support. Experiment Ideas like CoordConv.
YOLO v1 pytorch implementation
A PyTorch implementation of the YOLO v3 object detection algorithm
PyTorch ,ONNX and TensorRT implementation of YOLOv4
PyTorch implementation of YOLOv4
On the Variance of the Adaptive Learning Rate and Beyond
Building a deep learning model that automatically detects & locate potential pneumonia lung opacities on chest radiographs (CXR).
RNN for sentiment analysis
Implementation of 'Learning a Unified Sample Weighting Network for Object Detection' [CVPR 2020]
PyTorch Implementation of Spatially Consistent Representation Learning(SCRL)
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.