Emmanuel Bonnet's repositories
LAVIS
LAVIS - A One-stop Library for Language-Vision Intelligence
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.
self-ask
Code and data for "Measuring and Narrowing the Compositionality Gap in Language Models"
LMM_1st_app_test
LMM_1st_app_test with langchain
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.
qdrant
Qdrant - Vector Database for the next generation of AI applications. Also available in the cloud https://cloud.qdrant.io/
shap-e
Generate 3D objects conditioned on text or images
blog
Public repo for HF blog posts
Multimodal-GPT
Multimodal-GPT
mlc-llm
Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
logitorch
LogiTorch is a PyTorch-based library for logical reasoning on natural language
LLM-Adapters
LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models
NeMo-Guardrails
NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.
CoFiPruning
ACL 2022: Structured Pruning Learns Compact and Accurate Models https://arxiv.org/abs/2204.00408
leafmap
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
super-gradients
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
HugNLP
HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILab
LoRA
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
Solutions-To-Problems
Solutions to coding problems that can occur through high-tier interviews & preparation advices for them.
causality-lab
Causal discovery algorithms and tools for implementing new ones
notebooks-1
Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
Langchain-Crash-Course
140523
SpeechT5
Unified-Modal Speech-Text Pre-Training for Spoken Language Processing