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🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 11 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well a…
Distributed LLM inference for mobile, desktop and server.
From the Tensor to Stable Diffusion, a rough outline for a 9 week course.
A curated list of Best Artificial Intelligence Resources
LLM-PowerHouse: Unleash LLMs' potential through curated tutorials, best practices, and ready-to-use code for custom training and inferencing.
GroqNotes: Generate organized notes from audio using Groq, Whisper, and Llama3
VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs
An AI-powered search engine with a generative UI
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
🏅 Collection of Kaggle Solutions and Ideas 🏅
A curated list of awesome Machine Learning frameworks, libraries and software.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
EdgeChains.js Typescript/Javascript production-friendly Generative AI. Based on Jsonnet. Works anywhere that Webassembly does. Prompts live declaratively & "outside code in config". Kubernetes & ed…
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
All Algorithms implemented in Python
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
A resource for learning about Machine learning & Deep Learning
Process Common Crawl data with Python and Spark
A playbook for systematically maximizing the performance of deep learning models.
Code / solutions for Mathematics for Machine Learning (MML Book)
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Master programming by recreating your favorite technologies from scratch.
Graph Machine Learning course, Xavier Bresson, 2023
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning