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Name: Gyanachand Panigrahi
Type: User
Bio: Data Scientist | Machine Learning Engineer | Deep Learning | Generative AI | Product Development
Twitter: Rockstar_gyan
Location: Bengaluru, India
Name: Gyanachand Panigrahi
Type: User
Bio: Data Scientist | Machine Learning Engineer | Deep Learning | Generative AI | Product Development
Twitter: Rockstar_gyan
Location: Bengaluru, India
100 Days of ML Coding
30 days of Python programming challenge is a step by step guide to learn the Python programming language in 30 days. This challenge may take up to 100 days, follow your own pace.
Collection of contributions to and resources for the first #30DayChartChallenge in April 2021
A resource repository for 3D machine learning
500 AI Machine learning Deep learning Computer vision NLP Projects with code
I am trying to describe complex matters in simple doodles!
Official Python Implementation for "A Baseline for 3D Multi-Object Tracking", In Submission
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
Fast and flexible AutoML with learning guarantees.
The classical paper list with code about generative Adversarial nets
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Artificial Intelligence Nanodegree - Natural Language Processing
Artificial Intelligence Nanodegree - Recurrent Neural Networks
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
fast image augmentation library and easy to use wrapper around other libraries
Robust recipes to align language models with human and AI preferences
Officially supported AllenNLP models
This repo contains my Leetcode Solutions question-wise !
Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
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.