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100+ AI Agents, Agent Skills and RAG Apps - Free and Open Source.
A curated list of awesome Machine Learning frameworks, libraries and software.
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,…
A curated list of awesome Deep Learning tutorials, projects and communities.
The most cited deep learning papers
VIP cheatsheets for Stanford's CS 229 Machine Learning
A beautiful, simple, clean, and responsive Jekyll theme for academics
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
A collection of machine learning examples and tutorials.
Build your neural network easy and fast, 莫烦Python中文教学
The "Python Machine Learning (2nd edition)" book code repository and info resource
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
Windows binaries for Hadoop versions (built from the git commit ID used for the ASF relase)
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
Enterprise-grade, production-hardened, serverless data lake on AWS
This is a repo documenting the best practices in PySpark.
A serverless architecture for orchestrating ETL jobs in arbitrarily-complex workflows using AWS Step Functions and AWS Lambda.
Deep convolutional generative adversarial network (DCGAN) trained to remove Snapchat filters from selfie images
Implementing the Style Transfer Paper by Gatys in PyTorch. Using pretrained models to transfer arbitrary style onto arbitrary images.