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! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
This repository contains demos I made with the Transformers library by HuggingFace.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
- pytorch
- speech-processing
- speaker-diarization
- speech-activity-detection
YSDA course in Natural Language Processing
TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。
- dain
- huoshan-tts
- microsoft-tts
- rife-gui
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
:robot: :speech_balloon: Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Understanding Deep Learning - Simon J.D. Prince
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
A Comprehensive Guide for Generative AI, Agentic AI, Multimodal AI, Physical AI Interviews. Proven Formula for multiple FAANG offers and more
A collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-edge models like RF-DETR, YOLO11, SAM 3, and Qwen3-VL.
The repository host gives no description.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!
Repositório do lab "Contribuindo em um Projeto Open Source no GitHub" da Digital Innovation One.
TranslatedBuild your neural network easy and fast, 莫烦Python (Morvan Python) Chinese teaching
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
- andrew-ng
- andrew-ng-machine-learning
- coursera
- coursera-assignment
Inpaint anything using Segment Anything and inpainting models.
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion
this repository accompanies the book "Grokking Deep Learning"
Sweep: AI coding assistant for JetBrains
LLM-powered multiagent persona simulation for imagination enhancement and business insights.