🦜🔗 Build context-aware reasoning applications

Learn how to design, develop, deploy and iterate on production-grade ML applications.

🔊 Text-Prompted Generative Audio Model

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Python programs, usually short, of considerable difficulty, to perfect particular skills.

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable…

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding). Translations: 🇺🇸 🇨🇳 🇯🇵 🇮🇹 🇰🇷 🇷🇺 🇧🇷 🇪🇸

llama3 implementation one matrix multiplication at a time

A multi-voice TTS system trained with an emphasis on quality

Neural Networks: Zero to Hero

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! W…

Lab Materials for MIT 6.S191: Introduction to Deep Learning

MiniCPM3-4B: An edge-side LLM that surpasses GPT-3.5-Turbo.

Notebooks for learning deep learning

🔊 Text-prompted Generative Audio Model - With the ability to clone voices

Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the came…

Python Deep Dive Course - Accompanying Materials

Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)

Official SRFlow training code: Super-Resolution using Normalizing Flow in PyTorch

Annotated version of the Mamba paper

Materials for Mathematical Tools for Neuroscience course at Harvard (Neurobio 212)

Tutorial for surrogate gradient learning in spiking neural networks

[WACV'25] StreetTryOn: A Benchmark for In-the-Wild Virtual Try-On and Cross-Domain Virtual Try-On

collection of today i learned scripts