vinit kumar pandey's repositories
annotated_deep_learning_paper_implementations
🧑🏫 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, ... 🧠
ga_revenue
Google Analytics Customer Revenue Prediction
gemma-cookbook
A collection of guides and examples for the Gemma open models from Google.
go-load-balancer
A simple round robin algorithm based load balancer implementation in Golang
img2img-turbo
One-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
multimodal-maestro
Effective prompting for Large Multimodal Models like GPT-4 Vision, LLaVA or CogVLM. 🔥
Phi-3CookBook
This is a Phi-3 book for getting started with Phi-3. Phi-3, a family of open AI models developed by Microsoft. Phi-3 models are the most capable and cost-effective small language models (SLMs) available, outperforming models of the same size and next size up across a variety of language, reasoning, coding, and math benchmarks.
self-hosted-ai-starter-kit
The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.
shiny-calendar
End-to-End Workflow with Posit Team presentation, August 2024: Using pins for Shiny with ever-changing data
smol-vision
Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜