Wednesday, March 1, 2023
HomeSoftware DevelopmentThis autumn ‘22 highlights and achievements

This autumn ‘22 highlights and achievements

Posted by Nari Yoon, Hee Jung, DevRel Group Supervisor / Soonson Kwon, DevRel Program Supervisor

Let’s discover highlights and accomplishments of huge Google Machine Studying communities over the past quarter of 2022. We’re enthusiastic and grateful about all of the actions by the worldwide community of ML communities. Listed here are the highlights!

ML at DevFest 2022

A group of ML Developers attending DevFest 2022
Numerous members of ML GDE, TFUG, and 3P ML communities participated in DevFests 2022 worldwide protecting numerous ML matters with Google merchandise. Machine Studying with Jax: Zero to Hero (DevFest Conakry) by ML GDE Yannick Serge Obam Akou (Cameroon) and Simple ML on Google Cloud (DevFest Med) by ML GDE Nathaly Alarcon Torrico (Bolivia) hosted nice classes.

ML Group Summit 2022

A group of ML Developers attending ML Community Summit
ML Group Summit 2022 was hosted on Oct 22-23, 2022, in Bangkok, Thailand. Twenty-five most lively group members (ML GDE or TFUG organizer) had been invited and shared their previous actions and ideas on Google’s ML merchandise. A video sketch from ML Developer Applications workforce and a weblog posting by ML GDE Margaret Maynard-Reid (United States) assist us revisit the moments.


MAXIM in TensorFlow by ML GDE Sayak Paul (India) exhibits his implementation of the MAXIM household of fashions in TensorFlow.
Diagram of gMLP block

gMLP: What it’s and easy methods to use it in follow with Tensorflow and Keras? by ML GDE Radostin Cholakov (Bulgaria) demonstrates the state-of-the-art outcomes on NLP and pc imaginative and prescient duties utilizing so much much less trainable parameters than corresponding Transformer fashions. He additionally wrote Differentiable discrete sampling in TensorFlow.

Constructing Pc Imaginative and prescient Mannequin utilizing TensorFlow: Half 2 by TFUG Pune for the builders who wish to deep dive into coaching an object detection mannequin on Google Colab, inspecting the TF Lite mannequin, and deploying the mannequin on an Android software. ML GDE Nitin Tiwari (India) lined detailed features for end-to-end coaching and deployment of object mannequin detection.

Creation of Code 2022 in pure TensorFlow (days 1-5) by ML GDE Paolo Galeone (Italy) fixing the Creation of Code (AoC) puzzles utilizing solely TensorFlow. The articles include an outline of the options of the Creation of Code puzzles 1-5, in pure TensorFlow.

Screen shot of TensorFlow Lite on Android Project Practical Course

Construct tensorflow-lite-select-tf-ops.aar and tensorflow-lite.aar information with Colab by ML GDE George Soloupis (Greece) guides how one can shrink the ultimate dimension of your Android software’s .apk by constructing tensorflow-lite-select-tf-ops.aar and tensorflow-lite.aar information with out the necessity of Docker or private PC surroundings.

TensorFlow Lite and MediaPipe Utility by ML GDE XuHua Hu (China) explains easy methods to use TFLite to deploy an ML mannequin into an software on units. He shared experiences with growing a movement sensing sport with MediaPipe, and easy methods to resolve issues that we could meet often.


Diagram of feature maps concatenated together and flattened
Mixed precision in Keras based Stable Diffusion
Let’s Generate Pictures with Keras primarily based Steady Diffusion by ML GDE Chansung Park (Korea) delivered easy methods to generate photographs with given textual content and what secure diffusion is. He additionally talked about Keras-based secure diffusion, primary constructing blocks, and the benefits of utilizing Keras-based secure diffusion.


Digits + TFX banner
How startups can profit from TFX by ML GDE Hannes Hapke (United States) explains how the San Francisco-based FinTech startup Digits has benefitted from making use of TFX early, how TFX helps Digits develop, and the way different startups can profit from TFX too.

Usha Rengaraju (India) shared TensorFlow Prolonged (TFX) Tutorials (Half 1, Half 2, Half 3) and the next TF initiatives: TensorFlow Determination Forests Tutorial and FT Transformer TensorFlow Implementation.

Hyperparameter Tuning and ML Pipeline by ML GDE Chansung Park (Korea) defined hyperparam tuning, why it can be crucial; Introduction to KerasTuner, primary utilization; easy methods to visualize hyperparam tuning outcomes with TensorBoard; and integration inside ML pipeline with TFX.


JAX Excessive-performance ML Analysis by TFUG Taipei and ML GDE Jerry Wu (Taiwan) launched JAX and easy methods to begin utilizing JAX to unravel machine studying issues.

Putting NeRF on a diet: Semantically consistent Few-Shot View Synthesis Implementation
Introduction to JAX with Flax (slides) by ML GDE Phillip Lippe (Netherlands) reviewed from the fundamentals of the necessities we’ve on a DL framework to what JAX has to supply. Additional, he centered on the highly effective function-oriented view JAX affords and the way Flax means that you can use them in coaching neural networks.
Screen grab of ML GDE David Cardozo and Cristian Garcia during a live coding session of a review of new features, specifically Shared Arrays, in the recent release of JAX
JAX Streams: Exploring JAX 0.4 by ML GDE David Cardozo (Canada) and Cristian Garcia (Colombia) confirmed a evaluate of recent options (particularly Shared Arrays) within the latest launch of JAX and demonstrated stay coding.


Low-light Picture Enhancement utilizing MirNetv2 by ML GDE Soumik Rakshit (India) demonstrated the duty of Low-light Picture Enhancement.

TensorFlow User Group Bangalore Sentiment Analysis Kaggle Competition 1

Cloud AI

Higher {Hardware} Provisioning for ML Experiments on GCP by ML GDE Sayak Paul (India) mentioned the ache factors of provisioning {hardware} (particularly for ML experiments) and the way we are able to get higher provision {hardware} with code utilizing Vertex AI Workbench situations and Terraform.

Jayesh Sharma, Platform Engineer, Zen ML; MLOps workshop with TensorFlow and Vertex AI November 12, 2022|TensorFlow User Group Chennai
MLOps workshop with TensorFlow and Vertex AI by TFUG Chennai focused newbies and intermediate-level practitioners to present hands-on expertise on the E2E MLOps pipeline with GCP. Within the workshop, they shared the assorted phases of an ML pipeline, the highest instruments to construct an answer, and easy methods to design a workflow utilizing an open-source framework like ZenML.
Workflow of Google Virtual Career Center

Extra sensible time-series mannequin with BQML by ML GDE JeongMin Kwon (Korea) launched BQML and time-series modeling and confirmed some sensible purposes with BQML ARIMA+ and Python implementations.

Analysis & Ecosystem

AI in Healthcare by ML GDE Sara EL-ATEIF (Morocco) launched AI purposes in healthcare and the challenges dealing with AI in its adoption into the well being system.

Girls in AI APAC completed their journey at ML Paper Studying Membership. Throughout 10 weeks, individuals gained information on excellent machine studying analysis, realized the newest methods, and understood the notion of “ML analysis” amongst ML engineers. See their session right here.

A Pure Language Understanding Mannequin LaMDA for Dialogue Purposes by ML GDE Jerry Wu (Taiwan) launched the pure language understanding (NLU) idea and shared the operation mode of LaMDA, mannequin fine-tuning, and measurement indicators.

Python library for Arabic NLP preprocessing (Ruqia) by ML GDE Ruqiya Bin (Saudi Arabia) is her first python library to serve Arabic NLP.

Screengrab of ML GDEs Margaret Maynard-Reid and Akash Nain during Chat with ML GDE Akash

Anatomy of Capstone ML Initiatives 🫀by ML GDE Sayak Paul (India) mentioned engaged on capstone ML initiatives that can stick with you all through your profession. He lined numerous matters starting from drawback choice to tightening up the technical gotchas to presentation. And in Enhancing as an ML Practitioner he shared his studying from expertise within the subject engaged on a number of features.

Screen grab of  statement of objectives in MLOps Development Environment by ML GDE Vinicius Carida
MLOps Improvement Setting by ML GDE Vinicius Caridá (Brazil) goals to construct a full improvement surroundings the place you possibly can write your individual pipelines connecting MLFLow, Airflow, GCP and Streamlit, and construct wonderful MLOps pipelines to follow your expertise.

Transcending Scaling Legal guidelines with 0.1% Further Compute by ML GDE Grigory Sapunov (UK) reviewed a latest Google article on UL2R. And his posting Discovering sooner matrix multiplication algorithms with reinforcement studying defined how AlphaTensor works and why it can be crucial.

Again in Particular person – Prompting, Directions and the Way forward for Giant Language Fashions by TFUG Singapore and ML GDE Sam Witteveen (Singapore) and Martin Andrews (Singapore). This occasion lined latest advances within the subject of enormous language fashions (LLMs).

ML for Manufacturing: The artwork of MLOps in TensorFlow Ecosystem with GDG Casablanca by TFUG Agadir mentioned the motivation behind utilizing MLOps and the way it can assist organizations automate loads of ache factors within the ML manufacturing course of. It additionally lined the instruments used within the TensorFlow ecosystem.



Please enter your comment!
Please enter your name here

Most Popular

Recent Comments

situs slot gacor provider terbaik agen toto slot terpercaya 2023 agen toto togel terpercaya 2023 situs toto togel pasaran resmi terbaik bandar toto macau pasaran resmi toto togel bandar toto slot gacor 4d 2023 bo togel online pasaran terlengkap sepanjang masa bo toto slot terlengkap sepanjang masa situs toto togel 2023 bet 100 perak daftar toto slot dan toto togel 2023 bermain toto togel dengan bet hanya 100 perak daftar toto slot bonus new member terpercaya bermain toto slot pelayanan 24 jam nonstop agen slot gacor 4d hadiah terbesar bandar toto slot provider terbaik toto slot gacor 4d hingga toto togel toto togel pasaran resmi terpercaya bo togel online terbaik 2023 agen togel online terbesar 2023 situs togel online terpercaya 2023 bo togel online paling resmi 2023 toto togel pasaran togel hongkong resmi situs slot online pasti gacor agen slot online anti rungkad bo slot online deposit tanpa potongan situs toto togel dan toto slot bonus new member situs toto slot gacor 4d bo toto slot gacor 4d bo toto slot gacor dari toto togel 4d bo toto slot 4d terpercaya bo toto slot terpercaya toto macau resmi dari toto togel 4d agen togel terbesar dan situs toto slot terpercaya bandar toto togel dan slot online 2023 bo slot gacor terbaik sepanjang masa winsortoto winsortoto bo toto togel situs toto situs toto togel terpercaya situs toto slot terpercaya situs slot gacor 4d terbaik sepanjang masa agen toto togel dan situs toto slot terpercaya situs toto togel dan agen toto slot terpercaya bandar toto togel tersedia pasaran toto macau resmi agen toto togel bet 100 perak deposit 10rb ltdtoto