lightfield botanist's repositories
Awesome-LLM-RAG
Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models
bootcamp
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.
ComfyUI
The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
DeepLearningExamples
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
dspy
DSPy: The framework for programming—not prompting—foundation models
GenerativeAIExamples
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
ggml
Tensor library for machine learning
google-research
Google Research
KANeRF
KAN-based NeRF
llama-cpp-torch
llama.cpp to PyTorch Converter
llama.cpp
LLM inference in C/C++
llama_index
LlamaIndex is a data framework for your LLM applications
llama_parse
Parse files for optimal RAG
LLM-Evaluation
Sample notebooks and prompts for LLM evaluation
Open-Source-AI-Cookbook
Open-source AI cookbook
OpenSplat
Production-grade 3D gaussian splatting with CPU/GPU support for Windows, Mac and Linux 🚀
pgvector
Open-source vector similarity search for Postgres
phidata
Add memory, knowledge and tools to LLMs
rag-demo
Retrieval-Augmented Generation Assistant Demo 🤖➕📚🟰❤️
ragas
Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines
ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
RAT
Implementation of "RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon Generation".
slang
Making it easier to work with shaders
unsloth
5X faster 60% less memory QLoRA finetuning
VectorHub
VectorHub is a free, open-source learning website for people (software developers to senior ML architects) interested in adding vector retrieval to their ML stack.
workbench-example-local-rag
An NVIDIA AI Workbench example project for running retrieval augmented generation (RAG)