Jules M's repositories
awesome-artificial-intelligence-guidelines
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
awesome-generative-a
A curated list of Generative AI tools, works, models, and references
awesome-generative-ai
A curated list of modern Generative Artificial Intelligence projects and services
awesome-mlops
A curated list of references for MLOps
awesome-multimodal-in-medical-imaging
A collection of resources on applications of multi-modal learning in medical imaging.
Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
bittensor
Internet-scale Neural Networks
ChatGPT_solutions_produced_from_simple_prompt
This is as the name implies. The solutions of which go here. Both for educational and work purposes. Or building personal experience for getting into the tech field.
comprehensive-rust
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
distributed-ml-patterns
Distributed Machine Learning Patterns from Manning Publications by Yuan Tang https://bit.ly/2RKv8Zo
DragGAN
Official Code for DragGAN (SIGGRAPH 2023)
elasticsearch
Free and Open, Distributed, RESTful Search Engine
FlagEmbedding
Retrieval and Retrieval-augmented LLMs
grok-1
Grok open release
hiddenlayer
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
Human-Video-Generation
Human Video Generation Paper List
julesmhad.github.io
Website
llama
Inference code for LLaMA models
llama_index_object_array_reader
Use Llamaindex to index and retrieve object arrays
micro-sam
Segment Anything for Microscopy
NeMo-Megatron-Launcher
NeMo Megatron launcher and tools
panda
code powering the comma.ai panda
phidata
Build AI Assistants with memory, knowledge and tools.
resource-stream
CUDA related news and material links
s4
Structured state space sequence models
TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities