TensorFlow Tutorials with YouTube Videos
Repository Index
57,637 visible repositories in the index
145–168 of 559 · Most stars
TranslatedInterview = Resume Guide + Algorithm Problems + Standard Interview Q&A (八股文, "eight-legged essay") + Source Code Analysis
- python
- kaggle
- machine-learning
- leetcode
The repository host gives no description.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
[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!
- auto-regressive-model
- diffusion-models
- image-generation
- transformers
Repositório do lab "Contribuindo em um Projeto Open Source no GitHub" da Digital Innovation One.
My blogs and code for machine learning. http://cnblogs.com/pinard
- machinelearning
- algorithms
- scikit-learn
- reinforcementlearning
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
TranslatedLearn Python by writing code
- python-requests
- python-flask
- learning-python
- python
TranslatedNotes on data science and collected materials
Zero-Shot Speech Editing and Text-to-Speech in the Wild
TranslatedAIInfra (AI infrastructure) refers to the AI system, from underlying hardware such as chips up to the upper-layer software stack, that supports the training and inference of large AI models.
- aiinfra
- aisystem
TranslatedBuild your neural network easy and fast, 莫烦Python (Morvan Python) Chinese teaching
- neural-network
- python
- pytorch-tutorial
- batch-normalization
TensorFlow examples
- tensorflow
- tensorflow-examples
Notebooks and code for the book "Introduction to Machine Learning with Python"
Code samples used on cloud.google.com
- python
- samples
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
Image restoration with neural networks but without learning.
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
- data-drift
- jupyter-notebook
- pandas-dataframe
- machine-learning
Sample code for Channel 9 Python for Beginners course
Repo to accompany my mastering LLM engineering course
Playing Pokemon Red with Reinforcement Learning
22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.