The PyTorch Developer Podcast is a place for the PyTorch dev team to do bite sized (10-20 min) topics about all sorts of internal development topics in PyTorch.
…
continue reading
PyTorch Podcasts
Most AI research today is done by elite universities and corporate labs. The pursuit of science and creativity should be a viable project for any person, from any walk of life, who is excited by that feeling of mystery and building something that grows. chloe is an end to end neural network chatbot written in PyTorch based on the transformer. Accomplishing goals through conversation is a task we can relate to, chatbots are an ideal agent through which to connect new research to our current u ...
…
continue reading
The AI Buzz is a conversation about what’s happening in AI between Willam Falcon, CEO at Lightning AI and the creator of PyTorch Lightning, and Luca Antiga, CTO at Lightning AI. We make the firehose of information accessible to individuals, journalists, executives and investors. Whether you’re an indie developer or seasoned VC, we cover the latest in AI/ML and explore what has the potential to change everything. Feel free to reach out to us on Twitter @_willfalcon @lantiga. Want to meet with ...
…
continue reading
Are you a researcher or data scientist / analyst / ninja? Do you want to learn Bayesian inference, stay up to date or simply want to understand what Bayesian inference is? Then this podcast is for you! You'll hear from researchers and practitioners of all fields about how they use Bayesian statistics, and how in turn YOU can apply these methods in your modeling workflow. When I started learning Bayesian methods, I really wished there were a podcast out there that could introduce me to the me ...
…
continue reading
EdgeCortix subject matter experts discuss edge AI processors, AI software frameworks, and AI industry trends.
…
continue reading
Open Source is embedded in every software application you touch today. It’s impossible to build a large scale application without it. The real question is, what’s the story behind that component, application, or framework you just downloaded? Not the specs. Not the functionality. The real story: “Who wrote the code? What is their backstory? What led them to the Open Source community?” From the Linux Foundation office in New York City, welcome to "The Untold Stories of Open Source". Each week ...
…
continue reading

1
#142 Bayesian Trees & Deep Learning for Optimization & Big Data, with Gabriel Stechschulte
1:10:28
1:10:28
Play later
Play later
Lists
Like
Liked
1:10:28Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Get early access to Alex's next live-cohort courses! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Vi…
…
continue reading

1
BITESIZE | How Probability Becomes Causality?
22:03
22:03
Play later
Play later
Lists
Like
Liked
22:03Get early access to Alex's next live-cohort courses! Today’s clip is from episode 141 of the podcast, with Sam Witty. Alex and Sam discuss the ChiRho project, delving into the intricacies of causal inference, particularly focusing on Do-Calculus, regression discontinuity designs, and Bayesian structural causal inference. They explain ChiRho's desig…
…
continue reading

1
#141 AI Assisted Causal Inference, with Sam Witty
1:37:47
1:37:47
Play later
Play later
Lists
Like
Liked
1:37:47Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Get early access to Alex's next live-cohort courses! Enroll in the Causal AI workshop, to learn live with Alex (15% off if you're a Patron of the show) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work…
…
continue reading

1
BITESIZE | How to Think Causally About Your Models?
24:01
24:01
Play later
Play later
Lists
Like
Liked
24:01Get early access to Alex's next live-cohort courses! Today’s clip is from episode 140 of the podcast, with Ron Yurko. Alex and Ron discuss the challenges of model deployment, and the complexities of modeling player contributions in team sports like soccer and football. They emphasize the importance of understanding replacement levels, the Going Dee…
…
continue reading

1
#140 NFL Analytics & Teaching Bayesian Stats, with Ron Yurko
1:33:01
1:33:01
Play later
Play later
Lists
Like
Liked
1:33:01Get early access to Alex's next live-cohort courses! Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Vi…
…
continue reading

1
BITESIZE | Is Bayesian Optimization the Answer?
25:13
25:13
Play later
Play later
Lists
Like
Liked
25:13Today’s clip is from episode 139 of the podcast, with with Max Balandat. Alex and Max discuss the integration of BoTorch with PyTorch, exploring its applications in Bayesian optimization and Gaussian processes. They highlight the advantages of using GPyTorch for structured matrices and the flexibility it offers for research. The discussion also cov…
…
continue reading

1
#139 Efficient Bayesian Optimization in PyTorch, with Max Balandat
1:25:23
1:25:23
Play later
Play later
Lists
Like
Liked
1:25:23Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Visit our Patreon page to unlock exclusive Bayesian swa…
…
continue reading

1
BITESIZE | What's Missing in Bayesian Deep Learning?
20:34
20:34
Play later
Play later
Lists
Like
Liked
20:34Today’s clip is from episode 138 of the podcast, with Mélodie Monod, François-Xavier Briol and Yingzhen Li. During this live show at Imperial College London, Alex and his guests delve into the complexities and advancements in Bayesian deep learning, focusing on uncertainty quantification, the integration of machine learning tools, and the challenge…
…
continue reading

1
#138 Quantifying Uncertainty in Bayesian Deep Learning, Live from Imperial College London
1:23:10
1:23:10
Play later
Play later
Lists
Like
Liked
1:23:10Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Visit our Patreon page to unlock exclusive Bayesian swa…
…
continue reading

1
BITESIZE | Practical Applications of Causal AI with LLMs, with Robert Ness
25:28
25:28
Play later
Play later
Lists
Like
Liked
25:28Today’s clip is from episode 137 of the podcast, with Robert Ness. Alex and Robert discuss the intersection of causal inference and deep learning, emphasizing the importance of understanding causal concepts in statistical modeling. The discussion also covers the evolution of probabilistic machine learning, the role of inductive biases, and the pote…
…
continue reading

1
#137 Causal AI & Generative Models, with Robert Ness
1:38:19
1:38:19
Play later
Play later
Lists
Like
Liked
1:38:19Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Visit our Patreon page to unlock exclusive Bayesian swa…
…
continue reading

1
BITESIZE | How to Make Your Models Faster, with Haavard Rue & Janet van Niekerk
17:53
17:53
Play later
Play later
Lists
Like
Liked
17:53Today’s clip is from episode 136 of the podcast, with Haavard Rue & Janet van Niekerk. Alex, Haavard and Janet explore the world of Bayesian inference with INLA, a fast and deterministic method that revolutionizes how we handle large datasets and complex models. Discover the power of INLA, and why it can make your models go much faster! Get the ful…
…
continue reading

1
#136 Bayesian Inference at Scale: Unveiling INLA, with Haavard Rue & Janet van Niekerk
1:17:37
1:17:37
Play later
Play later
Lists
Like
Liked
1:17:37Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Visit our Patreon page to unlock exclusive Bayesian swa…
…
continue reading

1
BITESIZE | Understanding Simulation-Based Calibration, with Teemu Säilynoja
21:14
21:14
Play later
Play later
Lists
Like
Liked
21:14Get 10% off Hugo's "Building LLM Applications for Data Scientists and Software Engineers" online course! Today’s clip is from episode 135 of the podcast, with Teemu Säilynoja. Alex and Teemu discuss the importance of simulation-based calibration (SBC). They explore the practical implementation of SBC in probabilistic programming languages, the chal…
…
continue reading

1
#135 Bayesian Calibration and Model Checking, with Teemu Säilynoja
1:12:13
1:12:13
Play later
Play later
Lists
Like
Liked
1:12:13Proudly sponsored by PyMC Labs, the Bayesian Consultancy. Book a call, or get in touch! Intro to Bayes Course (first 2 lessons free) Advanced Regression Course (first 2 lessons free) Our theme music is « Good Bayesian », by Baba Brinkman (feat MC Lars and Mega Ran). Check out his awesome work! Visit our Patreon page to unlock exclusive Bayesian swa…
…
continue reading

1
Live Show Announcement | Come Meet Me in London!
3:04
3:04
Play later
Play later
Lists
Like
Liked
3:04ICYMI, I'll be in London next week, for a live episode of the Learning Bayesian Statistics podcast 🍾 Come say hi on June 24 at Imperial College London! We'll be talking about uncertainty quantification — not just in theory, but in the messy, practical reality of building models that are supposed to work in the real world. 🎟️ Get your tickets! Some …
…
continue reading

1
BITESIZE | Exploring Dynamic Regression Models, with David Kohns
14:34
14:34
Play later
Play later
Lists
Like
Liked
14:34Today’s clip is from episode 134 of the podcast, with David Kohns. Alex and David discuss the future of probabilistic programming, focusing on advancements in time series modeling, model selection, and the integration of AI in prior elicitation. The discussion highlights the importance of setting appropriate priors, the challenges of computational …
…
continue reading