Emmanuel Bonnet's repositories
awesome-mlops
A curated list of references for MLOps
aws-security-reference-architecture-examples
Example solutions demonstrating how to implement patterns within the AWS Security Reference Architecture guide using CloudFormation and Customizations for AWS Control Tower.
blog
Public repo for HF blog posts
CoFiPruning
ACL 2022: Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
datascience
Curated list of Python resources for data science.
delta
An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Trino, and Hive and APIs
gpax
Structured Gaussian Processes and Deep Kernel Learning
h2o-llmstudio
H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs
LAVIS
LAVIS - A One-stop Library for Language-Vision Intelligence
leafmap
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
LLM-Adapters
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
LMM_1st_app_test
LMM_1st_app_test with langchain
logitorch
LogiTorch is a PyTorch-based library for logical reasoning on natural language
ML-DL_Roadmap.
DEEP LEARNING MATHEMATICAL ROADMAP
mlc-llm
Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
Multimodal-GPT
Multimodal-GPT
nannyml
Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. It alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance.
NeMo-Guardrails
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
qdrant
Qdrant - Vector Database for the next generation of AI applications. Also available in the cloud https://cloud.qdrant.io/
qlora
QLoRA: Efficient Finetuning of Quantized LLMs
self-ask
Code and data for "Measuring and Narrowing the Compositionality Gap in Language Models"
shap-e
Generate 3D objects conditioned on text or images
simple-python-codes
Simple Python Codes for routine tasks
super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
tealcrm
CRM with python
tortoise-tts
A multi-voice TTS system trained with an emphasis on quality