The 30 Days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than 100 days. Follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw
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Learn how to develop, deploy and iterate on production-grade ML applications.
Learn how to design systems at scale and prepare for system design interviews
- architecture
- distributed-systems
- system-design
- system-design-interview
TranslatedUnofficial compilation of course materials from your university
deep learning for image processing including classification and object-detection etc.
- pytorch
- tensorflow2
- classification
- object-detection
💻 Vibe Coding 101|Your First Course For AI Product Builders.
- ai
- course
- vibe-coding
- coding
Mini projects built with HTML5, CSS & JavaScript. No frameworks or libraries
Python training for business analysts and traders
- python
- jupyter
- jupyterlab
- binder
TranslatedAI learning roadmap, compiling nearly 200 hands-on cases and projects, with free accompanying teaching materials, for beginners with zero background, focused on job-ready practice! Covers: Python, mathematics, machine learning, data analysis, deep learning, computer vision, natural language processing, PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv and other popular fields
- machine-learning
- deep-learning
- data-analysis
- data-mining
open source training courses about distributed database and distributed systems
- distributed-systems
- rust
- golang
- talent-plan
Open Machine Learning Course
Class materials for a distributed systems lecture series
A functional javascript workshop. No libraries required (i.e. no underscore), just ES5.
The repository contains the ENGLISH description files attached to the video series in my ARABIC algorithms channel.
- algorithm
- acm-icpc
- competitive-programming
- arabic
Trilhas de estudo de Ciência de Dados derivadas das aulas da Profa. Cibele Russo (ICMC/USP)
Teaching materials for a future Foundation of Embodied AI course, with Chinese and English tutorials on robot dynamics, Isaac Sim, Isaac Lab, MuJoCo, robot learning, ROS 2, camera calibration, PPO, SAC, Flow Matching, GR00T, and SONIC.
Learn to use https://github.com/caolan/async in this self guided workshop
- async
- workshop
- rvagg
- javascript