skp80 Goto Github PK
Name: Srikanta Prasad (Sri)
Type: User
Bio: Working as noob in the area of Machine Learning. Life long learner.
Location: India
Name: Srikanta Prasad (Sri)
Type: User
Bio: Working as noob in the area of Machine Learning. Life long learner.
Location: India
100 Days of ML Coding
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
A resource repository for 3D machine learning
500 AI Machine learning Deep learning Computer vision NLP Projects with code
Code to accompany Advanced Analytics with Spark from O'Reilly Media
My personal notes for Udacity's AI for Trading Nanodegree
AI Makerspace: Blueprints for developing machine learning applications with state-of-the-art technologies.
notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.
This repository will contain my work from the Master Algorithmic Programming Techniques Specialization that was created by UC San Diego and delivered through Coursera.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Secure data science with Amazon SageMaker Studio workshop. This workshop creates a reference architecture with security and controls to perform machine learning tasks securely with Amazon SageMaker Studio.
Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Approaching (Almost) Any Machine Learning Problem
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
Build Low Code Automated Tensorflow explainable models in just 3 lines of code. Library created by: Hasan Rafiq - https://www.linkedin.com/in/sam04/
Efficiently computes derivatives of numpy code.
A curated list of automated machine learning papers, articles, tutorials, slides and projects
:memo: An awesome Data Science repository to learn and apply for real world problems.
A collection of research papers on decision, classification and regression trees with implementations.
Google Cloud Platform Certification resources.
📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc.
A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of mathematics documents ,Concepts, Study Materials , Algorithms and Codes available across the internet for machine learning and deep learning
A curated list of awesome machine learning interpretability resources.
A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory
:sunglasses: A curated list of awesome MLOps tools
:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
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.