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Name: Ashwin
Type: User
Name: Ashwin
Type: User
š§āš« 60 Implementations/tutorials of deep learning papers with side-by-side notes š; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), š® reinforcement learning (ppo, dqn), capsnet, distillation, ... š§
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
Some examples for the use of boost::python
scripts to download datasets
Take away from SOTA DL papers
A pytorch tutorial for DRL(Deep Reinforcement Learning)
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
Place 18 solution for the Dstl feature detection kaggle challenge https://www.kaggle.com/c/dstl-satellite-imagery-feature-detection
YOLOX-ti-lite models are optimized for deployment on TI edge processors
Caffe implementation of FAIR paper "Focal Loss for Dense Object Detection" for SSD.
Reference
Place 13 solution (Private LB) for the inventory demand forecasting challenge on Kaggle https://www.kaggle.com/c/grupo-bimbo-inventory-demand
Neural Network TensorFlow C API
A curated list of leetcode questions grouped by their common patterns
A comprehensive guide to building RAG-based LLM applications for production.
Implementing a ChatGPT-like LLM from scratch, step by step
A booklet on machine learning systems design with exercises
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(nĀ²) Memory"
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Implementing of the "A Neural Algorithm of Artistic Style"
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Examples and guides for using the OpenAI API
A course in reinforcement learning in the wild
load caffe prototxt and weights directly in pytorch
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š 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. ššš
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 ā¤ļø Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.