Pinned Repositories
ai-tunes
AI_Curriculum
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
AMP-Tech
AngularJS-and-ReactJS
Simple demo to demonstrate how to use ReactJS visualizations in AngularJS directives
ar-cutpaste
Cut and paste your surroundings using AR
audio-datasets
open-source audio datasets
AudioGPT
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
AudioSignalProcessingForML
Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"
awesome-AI-books
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
jhonpineda's Repositories
jhonpineda/AudioGPT
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
jhonpineda/Awesome-Deepfakes-Detection
A list of tools, papers and code related to Deepfake Detection.
jhonpineda/Awesome-Masked-Autoencoders
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
jhonpineda/Awesome-Referring-Image-Segmentation
:books: A collection of papers about Referring Image Segmentation.
jhonpineda/Awesome-Segmentation-With-Transformer
Transformer-Based Visual Segmentation: A Survey
jhonpineda/Awesome-Temporal-Action-Detection-Temporal-Action-Proposal-Generation
Temporal Action Detection & Weakly Supervised Temporal Action Detection & Temporal Action Proposal Generation
jhonpineda/awesome-vision-and-language
A curated list of awesome vision and language resources (still under construction... stay tuned!)
jhonpineda/Awesome-Visual-Transformer
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
jhonpineda/Complete-Machine-Learning-
This repository contains everything you need to become proficient in Machine Learning
jhonpineda/CVPR2023-Papers-with-Code
CVPR 2023 论文和开源项目合集
jhonpineda/Data-Science-Educational-Resoruces
jhonpineda/Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
jhonpineda/Diffusion-Models-Papers-Survey-Taxonomy
Diffusion model papers, survey, and taxonomy
jhonpineda/Diplomado
Este es un repositorio creado para el diplomado en Inteligencia Artificial y Aprendizaje Profundo
jhonpineda/Diplomado-Avanzado
jhonpineda/Efficient-Python-for-Data-Scientists
jhonpineda/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
jhonpineda/hands-on-rl
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
jhonpineda/JARVIS
JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf
jhonpineda/minicurso-ciencia-de-datos
jhonpineda/ML-Papers-Explained
Explanation to key concepts in ML
jhonpineda/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
jhonpineda/practical-nlp-code
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
jhonpineda/Prompt-Engineering-Guide
Guide and resources for prompt engineering
jhonpineda/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
jhonpineda/The-Big-Book-of-Small-Python-Projects
This is my repo following the book "The Big Book of Small Python Projects: 81 Easy Practice Programs" by Al Sweigart
jhonpineda/Transformer-in-Computer-Vision
A paper list of some recent Transformer-based CV works.
jhonpineda/Transformers-for-NLP-2nd-Edition
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E and more
jhonpineda/uao_YOLOv5_modulos_atencion
Proyecto final de la asignatura de Deep Learning Avanzado con el profesor Juan Carlos Perafan Villota. El proyecto consiste en la implementación de los módulos de atención "SE: Squeeze-and-Excitation Networks" y "CBAM: Convolutional Block Attention Module" y la explicabilidad de las inferencias con el método Grad-CAM
jhonpineda/yolov7-object-tracking
YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking