ksm26 Goto Github PK
Name: Khushdeep-singh
Type: User
Company: @inria
Bio: Engineer @INRIA | MS- Autonomous Systems TUB + KTH | Master thesis @bethgelab
Location: Grenoble, France
Name: Khushdeep-singh
Type: User
Company: @inria
Bio: Engineer @INRIA | MS- Autonomous Systems TUB + KTH | Master thesis @bethgelab
Location: Grenoble, France
3D detection and tracking viewer (visualization) for kitti & waymo dataset
A project for 3D multi-object tracking on KITTI dataset
Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.
Master the art of building and enhancing AI agents. Learn to develop flow-based applications, implement agentic search, and incorporate human-in-the-loop systems using LangGraph's powerful components.
Create a continuous integration (CI) workflow for testing LLMs applications in an effective way.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Leverage vector databases to swiftly construct a diverse range of applications through "Building Applications with Vector Databases" course!
Unlock automation and system building with the ChatGPT API. Master chain calls, Python interactions, and create a customer service chatbot in this practical course.
Learn to optimize machine learning tasks for environmental sustainability. Discover how to use real-time electricity data and low-carbon energy sources for model training and inference, reducing the carbon footprint of your cloud operations.
Jupyter notebooks for enhancing your skills with ChatGPT based prompt engineering. Harness the potential of large language models and create innovative applications.
A complete computer science study plan to become a software engineer.
[NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts
hyperparameter experiments
Roadmap to becoming a developer in 2022
Learn the ins and outs of efficiently serving Large Language Models (LLMs). Dive into optimization techniques, including KV caching and Low Rank Adapters (LoRA), and gain hands-on experience with Predibase’s LoRAX framework inference server.
Understand and build embedding models, focusing on word and sentence embeddings, dual encoder architectures. Learn to train embedding models using contrastive loss, implement them in semantic search and RAG systems.
This the project folder for the paper `Fusing Event-based and RGB camera for Robust Object Detection in Adverse Conditions'
Unlock the potential of finetuning Large Language Models (LLMs). Learn from industry expert, and discover when to apply finetuning, data preparation techniques, and how to effectively train and evaluate LLMs.
Master the techniques of function-calling and structured data extraction with LLMs. Learn to enhance LLM capabilities, integrate web services, and build practical applications for real-world data usability.
Explore Functions, Tools and Agents with LangChain along with LangChain Expression Language
Explore Mistral AI's extensive collection of models. Learn to select, prompt, and integrate Mistral's open-source and commercial models for tasks like classification, coding, and Retrieval Augmented Generation (RAG).
Explore LangChain and build powerful chatbots that interact with your own data. Gain insights into document loading, splitting, retrieval, question answering, and more.
Apply LLMs to your data, build personal assistants, and expand your use of LLMs with agents, chains, and memories.
Leetcode solutions
In this course navigates through the LLMOps pipeline, enabling you to preprocess training data for supervised fine-tuning and deploy custom Large Language Models (LLMs).
Explore the latest machine learning, artificial intelligence, and data science job opportunities in Canada. Stay informed about Canadian tech job market trends and find your next career move.
OpenMMLab Model Deployment Framework
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.