Deep Learning Blogs

2/7/2026 • EN

Andrew Healey

Andrew Healey writes about programming languages, compiler design, systems programming, and performance optimization. His blog covers building interpreters, compilers, sandboxes, games, and creative developer tooling, often with a focus on speed and efficiency.

Programming Languages Compilers & Interpreters Systems Programming

Andrew Healey

123

2/7/2026 • EN

Aditya Rohilla

Aditya Rohilla writes about software engineering, cloud-native systems, AI, and platform security. His blog covers practical insights on system design, GenAI, zero-trust architecture, and lessons learned from top tech companies like Amazon.

Software Engineering System Design Cloud Native

Aditya Rohilla

4

2/4/2026 • EN

Yuxin Wu

Yuxin Wu shares in-depth insights on Python, PyTorch, and large-scale software design. Explore tutorials on memory optimization, data loading, stacked diffs, static initialization, and building efficient deep learning systems.

Python Programming PyTorch Deep Learning

Yuxin Wu

10

2/4/2026 • EN

Eric Jang

Eric Jang is an AI researcher and engineer writing about machine learning, robotics, and generalization. His blog covers topics from LLMs and reinforcement learning to the future of intelligent robots and AI research careers.

artificial intelligence machine learning robotics

Eric Jang

10

2/3/2026 • EN

Brendan O’Connor

Brendan O’Connor is a researcher and data scientist writing about programming languages, data analysis, and machine learning. His work bridges Python, R, and Java, with thoughtful essays on software tools, research workflows, and empirical data exploration.

data science machine learning programming languages

Brendan O’Connor

6

2/3/2026 • EN

Avi Singh

Avi Singh writes about computer vision, deep learning, and robotics, with hands-on tutorials and research-driven insights. His work covers visual odometry, activity recognition, neural networks, and practical implementations using OpenCV, CUDA, and MATLAB.

computer vision deep learning visual odometry

Avi Singh

10

2/3/2026 • EN

Adit Deshpande

Adit Deshpande writes about deep learning, machine learning research, and AI concepts with a strong focus on clarity and intuition. His blog breaks down influential papers, neural networks, and real-world ML applications for beginners and practitioners alike.

deep learning machine learning neural networks

Adit Deshpande

10

2/2/2026 • EN

Mark Saroufim

Mark Saroufim is a software engineer and writer focused on machine learning systems, PyTorch, reinforcement learning, and the intersection of computation, mathematics, and product thinking. His writing blends hands-on engineering with theory, exploring everything from deep learning infrastructure to philosophy of computation.

Machine learning PyTorch systems engineering

Mark Saroufim

6

2/2/2026 • EN

Florian Dedov

Florian Dedov writes about Python programming, AI/ML concepts, and hands-on tech projects like Raspberry Pi. His content focuses on practical learning, project ideas, and demystifying AI terminology for developers and enthusiasts.

Python programming AI terminology machine learning

Florian Dedov

2

2/2/2026 • EN

Benny Cheung

Benny Cheung is a software engineer and AI enthusiast focused on building intelligent systems and agent-driven workflows. His writing covers AI agent orchestration, edge AI, local-first architectures, and AI-powered automation for real-world applications.

AI agents edge AI local-first architecture

Benny Cheung

11

1/31/2026 • EN

John Langford

John Langford writes deeply analytical essays on machine learning theory, AI research, and the limits of current architectures. His work explores sample efficiency, representation, long-term memory, and how future AI systems might move beyond today’s transformer-based models.

machine learning theory artificial intelligence learning efficiency

John Langford

9

1/28/2026 • EN

Mark Litwintschik

Mark Litwintschik is a Big Data, AI, GIS, and networking consultant with international experience, helping clients across the UK, USA, Europe, and beyond. He specializes in large-scale data analysis, geospatial insights, and technology consulting for major corporations and organizations.

Big Data AI GIS

Mark Litwintschik

99

1/28/2026 • EN

Jakub Nowosad

Jakub Nowosad is a computational geographer and Associate Professor at Adam Mickiewicz University, also serving as a Visiting Scientist at the University of Münster. He develops open-source tools and spatial methods for reproducible, scalable environmental and ecological analysis, and co-authors Geocomputation with R and Geocomputation with Python.

geocomputation spatial analysis environmental modeling

Jakub Nowosad

42

1/27/2026 • EN

David Ha

David Ha is an AI researcher known for pioneering work in neuroevolution, reinforcement learning, generative models, and world models. His blog features influential experiments, tutorials, and creative AI projects blending deep learning with evolutionary algorithms.

neuroevolution reinforcement learning generative ai

David Ha

9

1/25/2026 • EN

Lilian Weng

Lilian Weng is a machine learning researcher documenting deep, well-researched learning notes on large language models, reinforcement learning, and generative AI. Her blog offers clear, structured insights into model reasoning, alignment, hallucinations, and modern ML systems.

Large Language Models Machine Learning Research Reinforcement Learning

Lilian Weng

50

1/25/2026 • EN

Julien Jerphanion

Julien Jerphanion writes in-depth articles on machine learning performance, numerical computing, and software craftsmanship. His work focuses on scikit-learn internals, efficient algorithms, and building a strong theoretical understanding of ML systems.

Machine Learning scikit-learn Numerical Computing

Julien Jerphanion

9

1/25/2026 • EN

Jay Mody

Jay Mody is a software engineer and writer sharing clear, concise explanations of machine learning concepts and numerical computing. His blog focuses on intuition-driven deep dives into topics like GPT, attention, and efficient NumPy implementations.

Machine Learning Deep Learning NumPy

Jay Mody

5

1/25/2026 • EN

Thomas Lumley

Thomas Lumley writes thoughtful, in-depth articles on statistics, data analysis, and statistical modeling. His blog explores topics like survey methods, regression, simulations, and inference with a rigorous yet reflective approach.

statistics data analysis statistical modeling

Thomas Lumley

215

1/23/2026 • EN

Ferenc Huszár

Ferenc Huszár is a Professor of Machine Learning at the University of Cambridge and founder of Reasonable, a deep tech startup building advanced programming LLMs. His research focuses on learning theory, reasoning, and inductive biases in deep learning.

machine learning research LLM theory AI reasoning

Ferenc Huszár

15

1/23/2026 • EN

Igor Susmelj

Igor Susmelj is co-founder of Lightly, an ETH Zurich spin-off focused on simplifying large-scale datasets for deep learning. He writes about data pipelines, data annotation, and efficient ML workflows.

deep learning data annotation machine learning datasets

Igor Susmelj

10

1/22/2026 • EN

Philipp Schmid

Philipp Schmid is a Staff Engineer at Google DeepMind, building AI Developer Experience and DevRel initiatives. He specializes in LLMs, RLHF, and making advanced AI accessible to developers worldwide.

AI LLMs developer experience

Philipp Schmid

185

1/22/2026 • EN

Eugene Yan

Eugene Yan is a Principal Applied Scientist at Amazon, building AI-powered recommendation systems and experiences. He shares insights on RecSys, LLMs, and applied machine learning, while mentoring and investing in ML startups.

AI machine learning recommendation systems

Eugene Yan

185

1/21/2026 • EN

Jeremy Howard

Jeremy Howard leads Answer.AI, an AI R&D lab building practical applications from cutting-edge research. He focuses on AI, open-source tools, and educational platforms to help developers and researchers solve real-world problems efficiently.

Artificial Intelligence Machine Learning Open Source

Jeremy Howard

18

1/21/2026 • EN

Yoel Zeldes

Yoel Zeldes is an algorithm engineer at AI21 Labs with a background in computer science from Hebrew University. He specializes in machine learning, NLP, computer vision, and distributed computing, focusing on data-driven solutions and clean, elegant code.

Machine Learning NLP Computer Vision

Yoel Zeldes

27

1/19/2026 • EN

Chris Bradshaw

Chris Bradshaw is an IT professional with 25+ years of experience in infrastructure, specializing in Azure cloud and VMware vSphere on-premises. He shares practical IT tips, event insights, and real-world solutions from the infrastructure and cloud space.

Azure Infrastructure VMware vSphere Cloud Computing

Chris Bradshaw

378

1/12/2026 • EN

Tomas Petricek

Tomas Petricek is an assistant professor at Charles University in Prague and a partner at fsharpWorks, specializing in programming systems, functional programming, and the history and philosophy of computing.

functional programming programming systems philosophy of computing

Tomas Petricek

20

1/6/2026 • EN

Awni Hannun

Awni Hannun is a machine learning researcher and writer specializing in speech recognition, sequence models, and deep learning frameworks. He shares insights, tutorials, and analyses on ML concepts, algorithms, and practical implementations.

Machine Learning Deep Learning Speech Recognition

Awni Hannun

6

1/5/2026 • EN

Sebastian Raschka

Sebastian Raschka, PhD, is an LLM Research Engineer and AI expert bridging academia and industry, specializing in large language models, high-performance AI systems, and practical, code-driven machine learning.

Large Language Models Artificial Intelligence Machine Learning

Sebastian Raschka

97

1/2/2026 • EN

Kevin Avignon

Kevin Avignon is a software engineer and writer embracing the focused generalist mindset, sharing thoughtful insights on engineering, developer productivity, performance, system design, and the human side of building software through in-depth articles and essays.

Software Engineering Developer Productivity Generalist Mindset

Kevin Avignon

34

1/1/2026 • EN

Simon Willison

Simon Willison — Independent developer and writer documenting practical experiments, tools, and deep analysis around large language models, generative AI, web development, security, and emerging programming workflows through detailed posts and daily TILs.

Generative AI Large Language Models Web Development

Simon Willison

62

12/31/2025 • EN

Alex Merced

Alex Merced — Developer and technical writer sharing in-depth insights on data engineering, Apache Iceberg, data lakehouse architectures, Python tooling, and modern analytics platforms, with a strong focus on practical, hands-on learning.

data engineering apache iceberg data lakehouse

Alex Merced

333

11/29/2025 • EN

Sebastian Raschka

SebastianRaschka.com is the personal blog of Sebastian Raschka, PhD, an LLM research engineer whose work bridges academia and industry in AI and machine learning. On his blog and notes section he publishes deep, well-documented articles on topics such as LLMs (large language models), reasoning models, machine learning in Python, neural networks, data science workflows, and deep learning architecture. Recent posts explore advanced themes like “reasoning LLMs”, comparisons of modern open-weight transformer architectures, and guides for building, training, or analyzing neural networks and model internals.

ai machine learning python

Sebastian Raschka

103

11/10/2025 • EN

Melroy van den Berg

Melroy van den Berg writes hands-on articles about GNU/Linux, networking, security, DevOps, software engineering and embedded hardware. The blog mixes step-by-step guides and deep dives, from DNS fundamentals with command-line experiments to self-hosting, servers, tooling and practical troubleshooting. Clear categories cover levels from beginner to advanced, making it useful both for learning core concepts and refining day-to-day workflows.

devops linux software engineer

Melroy van den Berg

20

11/8/2025 • EN

Piotr Migdał

Piotr Migdał – Blog of a Data Explorer and Visual Storyteller This is the personal blog of Dr. Piotr Migdał, a technologist and visual storyteller with a strong background in quantum physics, deep learning, and data visualization. He is a founding engineer at Quesma, where he uses AI to turn complex datasets into clear visual insights through ggplot2 charts and Grafana dashboards. His posts combine technology, creativity, and personal reflection. You will find articles about machine learning, interactive data visualization, and projects that bridge science and art. Beyond his technical work, Piotr writes about dance, mindfulness, and the human side of creativity. This blog is a great read for developers, data scientists, and anyone interested in how technology and art can come together to explain the world in a meaningful way.

deep learning quantum computing

Piotr Migdał

39

11/7/2025 • EN

Yasoob Khalid

Yasoob Khalid is a developer and writer best known for the free, open-source book Intermediate Python and his project-driven follow-up, Practical Python Projects. His articles and books have reached 5+ million readers across 189+ countries, and his blog remains a go-to place for clear, practical Python insights. By day, Yasoob works on Azure Cloud Networking at Microsoft, and by night he continues to publish tutorials, notes, and experiments that demystify real-world Python for learners at every level. He’s also the author behind the long-running Python Tips site and newsletter, where he focuses on approachable explanations and hands-on examples.

python

Yasoob Khalid

188

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