Divyaraj Rana's Projects
A Repository for algorithms in C, C++, Python and Java
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
A collection of the most important Github repos for ML, AI & Data science practitioners
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of Large Language Model (LLM) Interpretability resources.
:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.
A modular and comprehensive solution to deploy a Multi-LLM and Multi-RAG powered chatbot (Amazon Bedrock, Anthropic, HuggingFace, OpenAI, Meta, AI21, Cohere, Mistral) using AWS CDK on AWS
AWS SDK for C++
Amazon Q, CodeCatalyst, Local Lambda debug, SAM/CFN syntax, ECS Terminal, AWS resources
Sample files to accompany the FT's Chart Doctor column
Inference code for CodeLlama models
AI companions with memory: a lightweight stack to create and host your own AI companions
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
Data Engineering with AWS, 2nd edition - Published by Packt
All the resources related to GenAI hands on workshop.
Databricks SQL Connector for Python
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data
👨🎓 An eye-catching developer Portfolio, Built on NextJS, GSAP, Tailwind and React
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Official Code for DragGAN (SIGGRAPH 2023)
A driver snoozing system is a safety feature that detects and alerts a driver who is exhibiting signs of fatigue, with the goal of reducing the risk of accidents and injuries caused by drowsy driving.
Ego4d dataset repository. Download the dataset, visualize, extract features & example usage of the dataset
Helper scripts and examples for exploring the Falcon LLM models