Kaggle
@kaggle
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Kaggle is the largest global AI community of developers, researchers, and enthusiasts who compete, collaborate, and benchmark what's next in AI.
San Francisco
Joined October 2009
📢 We're hosting the 5-Day AI Agents Intensive course with Google on November 10 - 14. We’d love for you to join! This no-cost course is designed to help you explore the foundations and practical applications of AI agents. More info and registration: https://t.co/0H2WTI5Tn7
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Ready to learn how to build and deploy your own AI agents? Join the 5-Day AI Agents Intensive Course with Google, happening November 10-14 — a no-cost, hands-on deep dive designed by Google researchers and engineers. Learn more 👇 https://t.co/0H2WTI6rcF
rsvp.withgoogle.com
Join our 5-day AI Agents Intensive Course with Google, November 10–14, to learn how to build, evaluate, and deploy agents.
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🚀 New Model Launch: Granite 4.0 @IBM's Granite 4.0 is the latest open-source SLM, built for fast inference, long-context understanding (tested on up to 128K tokens), and cost-efficient deployments. Multiple model sizes provide flexibility for different hardware and use cases.
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NFL Big Data Bowl 2026 - Analytics In this competition, you will analyze player movement while the ball is in the air & create metrics or visuals to help coaches & fans better understand the game. 💰 $50,000 Prize Pool ⏰ Final Submission: Dec 17, 2025 https://t.co/lMfpaLuV3R
kaggle.com
Understand player movement while the ball is in the air
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NFL Big Data Bowl 2026 - Prediction In this competition, you will build models to predict player movement after the ball is thrown, using pre-pass tracking data. Test your algorithms on live NFL games! 💰 $50,000 Prize Pool ⏰ Entry Deadline: Nov 26, 2025 https://t.co/w0LiePV9DL
kaggle.com
Predict player movement while the ball is in the air
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🏈 The 8th annual @NFL Big Data Bowl is here! This year, we’re excited to launch two competitions in collaboration with NFL. Participants will use NFL player tracking (Next Gen Stats) to generate insights that enhance the game. Pro tip: you can compete in both 😎 More info 👇
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Congratulations to all the winners and thank you to all the participants of the Stanford RNA 3D Folding competition! 🎉
The results are in: top codes in Stanford #RNA 3D Folding @kaggle are competitive with CASP16-leading humans Vfold, beat AlphaFold 3. Top team’s trick was template-based modeling, not #DeepLearning. Congrats: john, odat, Eigen, + all 1706 participants! https://t.co/EgzN3DTKNe
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After hundreds of Kaggle competitions and years of trial, error, and wins, our team @ChrisDeotte @The0Viel @0verfit @giba1, have compiled a playbook for tabular modeling—a system that’s carried us to the top of leaderboards and held up on real-world data. https://t.co/0ZM9NnS0CI
developer.nvidia.com
Over hundreds of Kaggle competitions, we’ve refined a playbook that consistently lands us near the top of the leaderboard—no matter if we’re working with millions of rows, missing values…
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We’re excited to see what you’ll build to recognize behaviors in mice, uncover new insights into animal social structures, and push behavioral science research forward. 👉
kaggle.com
Detect unique behaviors from pose estimates of mice.
Excited to announce the 2025 Multi-Agent Behavior Challenge on cross-lab supervised action recognition in mice 🐁🐀🖱️ Running on Kaggle until December 15th, with a $50,000 prize pool going to the top five submissions!
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🤖 Now on #KaggleModels! Learn more:
kaggle.com
Building upon Mistral Small 3.2 (2506), with added reasoning capabilities, undergoing SFT from Magistral Medium traces and RL on top, it's a small, efficient reasoning model with 24B parameters.
Introducing Magistral Small 1.2 & Magistral Medium 1.2, minor updates to our Magistral 1.1 models! - Multimodality: Now equipped with a vision encoder, these models handle both text and images seamlessly. - Performance Boost: 15% improvements on math and coding benchmarks such
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📣 Competition Launch Alert! Hull Tactical Market Prediction hosted by @HullTactical 🎯 Predict excess S&P 500 returns while managing volatility 💰 $100,000 Prize Pool ⏰ Entry Deadline: Dec 8, 2025 https://t.co/z8eWyl5l4e
kaggle.com
Can you predict market predictability?
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🤖 VaultGemma is now on #KaggleModels! Learn more:
kaggle.com
VaultGemma is a variant of the Gemma family of lightweight, state-of-the-art open models from Google
🔒 VaultGemma is the world's most capable differentially private LLM.
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Welcome Qwen3-Next-80B-A3B on #KaggleModels! 🤖 Learn more:
kaggle.com
Qwen3-Next-80B-A3B is the first installment in the Qwen3-Next series and features the following key enchancements like Hybrid Attention, High-Sparsity Mixture-of-Experts (MoE), Stability Optimizati...
🚀 Introducing Qwen3-Next-80B-A3B — the FUTURE of efficient LLMs is here! 🔹 80B params, but only 3B activated per token → 10x cheaper training, 10x faster inference than Qwen3-32B.(esp. @ 32K+ context!) 🔹Hybrid Architecture: Gated DeltaNet + Gated Attention → best of speed &
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📢 @Wikimedia just published the English Wikipedia Biographies Dataset on Kaggle! Explore structured data from 1.5M+ biographies including birth and death dates, education, affiliations, careers, awards & more. We’re excited to see what you create! 👇 https://t.co/GAZtlYUXQC
kaggle.com
Biographical Data for People on English Wikipedia
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