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LLaMA 3 is one of the most promising open-source model after Mistral, we will recreate it's architecture in a simpler manner.
Copy Breadcrumbs plugin for Visual Studio Code. Based on Scott Blair's extension.
The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.
Research Software Engineering with Python course material
A C++ standalone library for machine learning
Full-featured shell script in order to control wall mount smart energy meter Voltcraft SEM-6000
Highly commented implementations of Transformers in PyTorch
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
This is an R shiny app that visualizes audit data using many tools all in one app.
Synology VideoStation and DLNA FFmpeg Wrapper with AAC, DTS, EAC3 and TrueHD support via pipes (now with GStreamer support). It enables full hardware transcoding from Synology´s FFmpeg for video an…
A curated list of foundation models for vision and language tasks
Builder and index for PyTorch packages
This project is performing few shot object detection on remote sensing images (DIOR) with a innovative sub-parts approach.
Official Pytorch implementation of LinCIR: Language-only Training of Zero-shot Composed Image Retrieval (CVPR 2024)
Benchmark for Multi-domain Evaluation of Semantic Segmentation
Icon font and SVG for use with GIS and spatial analysis tools
[NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
Official code repository for the paper: "Neural Spline Fields for Burst Image Fusion and Layer Separation"
Distribute and run LLMs with a single file.
library supporting NLP and CV research on scientific papers
Manage your dotfiles across multiple diverse machines, securely.
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.
Minimal package to demonstrate good Python development habits
Multiple NVIDIA GPUs or Apple Silicon for Large Language Model Inference?