Pinned Repositories
AlgoBook
A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨
Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
APM-Drowsiness-Detection
approachingalmost
Approaching (Almost) Any Machine Learning Problem
awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
awesome-artificial-intelligence-guidelines
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
SDFC
Roadmap and Resource Compilation for System Design Fight Club
julesmhad's Repositories
julesmhad/awesome-generative-a
A curated list of Generative AI tools, works, models, and references
julesmhad/awesome-mlops
A curated list of references for MLOps
julesmhad/awesome-multimodal-in-medical-imaging
A collection of resources on applications of multi-modal learning in medical imaging.
julesmhad/Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
julesmhad/awesome-production-machine-learning
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
julesmhad/bittensor
Internet-scale Neural Networks
julesmhad/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.
julesmhad/CodeFlowMapper
julesmhad/comprehensive-rust
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
julesmhad/DeepSpeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
julesmhad/EasyLM
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.
julesmhad/elasticsearch
Free and Open, Distributed, RESTful Search Engine
julesmhad/engineering-blogs
A curated list of engineering blogs
julesmhad/FlagEmbedding
Retrieval and Retrieval-augmented LLMs
julesmhad/grok-1
Grok open release
julesmhad/hiddenlayer
Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
julesmhad/Human-Video-Generation
Human Video Generation Paper List
julesmhad/julesmhad.github.io
Website
julesmhad/llama_index_object_array_reader
Use Llamaindex to index and retrieve object arrays
julesmhad/mamba
julesmhad/micro-sam
Segment Anything for Microscopy
julesmhad/ml-in-a-box
Machine learning tool-set for Paperspace VMs
julesmhad/MLOps-Basics
julesmhad/panda
code powering the comma.ai panda
julesmhad/phidata
Build AI Assistants with memory, knowledge and tools.
julesmhad/Reflection_Tuning
[ACL'24] Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
julesmhad/resource-stream
CUDA related news and material links
julesmhad/s4
Structured state space sequence models
julesmhad/Summer2025-Internships
Collection of Summer 2025 tech internships!
julesmhad/TextAttack
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/