google / Making_with_ml
Licence: apache-2.0
Stars: ✭ 133
Labels
Projects that are alternatives of or similar to Making with ml
Repo 2019
BERT, AWS RDS, AWS Forecast, EMR Spark Cluster, Hive, Serverless, Google Assistant + Raspberry Pi, Infrared, Google Cloud Platform Natural Language, Anomaly detection, Tensorflow, Mathematics
Stars: ✭ 133 (+0%)
Mutual labels: jupyter-notebook
Pytorch Tutorials
Pytorch tutorials for Neural Style transfert
Stars: ✭ 133 (+0%)
Mutual labels: jupyter-notebook
Poppy Ergo Jr
🤖 Poppy Ergo Jr is an open-source robotic arm based on modular 3D printed conception and low-cost XL-320 motors.
Stars: ✭ 133 (+0%)
Mutual labels: jupyter-notebook
Saxpy
Symbolic Aggregate approXimation, HOT-SAX, and SAX-VSM implementation in Python
Stars: ✭ 133 (+0%)
Mutual labels: jupyter-notebook
Clockwork Fcn
Clockwork Convnets for Video Semantic Segmenation
Stars: ✭ 133 (+0%)
Mutual labels: jupyter-notebook
One Network Many Uses
Four-in-one deep network: image search, image captioning, similar words and similar images using a single model
Stars: ✭ 133 (+0%)
Mutual labels: jupyter-notebook
Fastdoc
Create publication-quality books from Jupyter notebooks
Stars: ✭ 134 (+0.75%)
Mutual labels: jupyter-notebook
Dataminingnotebooks
This is a collection of iPython notebooks from my course on data mining. Data used in the notebooks can be downloaded from the given links in the notebooks.
Stars: ✭ 133 (+0%)
Mutual labels: jupyter-notebook
Ml Class
Machine learning lessons and teaching projects designed for engineers
Stars: ✭ 1,743 (+1210.53%)
Mutual labels: jupyter-notebook
Spark Tpc Ds Performance Test
Use the TPC-DS benchmark to test Spark SQL performance
Stars: ✭ 133 (+0%)
Mutual labels: jupyter-notebook
Learning Data Mining With Python
Code repo for Learning Data Mining with Python, published by Packt Publishing
Stars: ✭ 133 (+0%)
Mutual labels: jupyter-notebook
Competitive Data Science 1
How to Win a Data Science Competition: Learn from Top Kagglers
Stars: ✭ 133 (+0%)
Mutual labels: jupyter-notebook
Computational Statistics With Python
Resources for STA 633 class
Stars: ✭ 133 (+0%)
Mutual labels: jupyter-notebook
Automatedstocktrading Deepq Learning
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
Stars: ✭ 133 (+0%)
Mutual labels: jupyter-notebook
Deep Listening
Deep Learning experiments for audio classification
Stars: ✭ 133 (+0%)
Mutual labels: jupyter-notebook
Streaming Demos
Demos of Plotly's Real-time Streaming API
Stars: ✭ 133 (+0%)
Mutual labels: jupyter-notebook
Laplacians.jl
Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.
Stars: ✭ 132 (-0.75%)
Mutual labels: jupyter-notebook
Making With ML
Hello and welcome to the Making With ML Github repo. Here you'll find all the code that goes along with the Making with ML YouTube series and with the blog posts on daleonai.com.
| Project | Code |
|---|---|
| video_archive | AI-powered searchable video archive built with Firebase, Flutter, and the Video Intelligence API |
| discord_moderator | Discord moderation bot that flags toxic/flirty/insulting messages |
| sports_ai | Analyze your tennis serve or penalty kick with the Video Intelligence API |
| semantic_ml | Prototype language-powered apps fast |
| instafashion | Use AI + Fashion Influencers to recommend outfits |
| ai_dubs | Transcribe, translate, and dub movies with ML |
This is not an officially supported Google product.
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].