- Andrej Risteski (Generative Model & MCMC)
- almost stochastic
- arg min
- Greg
- inFERENCe
- Inverse Probability - Neil Lawrence
- I’m a bandit
- Djalil Chafaï
- Eric Jiang, Flow in JAX
- Hopfield Networks is All You Need
- Lil'Log
- LLM
- Ilya V. Schurov
- Machine Learning Research
- Muon Optimizer - Keller Jordan
- Piecewise Deterministic Monte Carlo
- Probably Approximately Wrong
- Sam Power (MCMC)
- Sander Dieleman (Diffusion Models)
- Sebastian's Slow Blog
- Going Deeper Into RL: Fundamentals of Policy Gradients
- The Information Structuralist
- Thinking Machines
- Transformer Circuits Thread
- Tuan Anh Le
- VAIBHAV PATEL
- Shunyu Yao
- Yuling Yao's Blog
- The Annotated S4
- Simplifying S4
- KL Divergence
- 苏剑林 科学空间
- 紫气东来 LLM
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Working from home
Pinned Loading
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Contour-Stochastic-Gradient-Langevin-Dynamics
Contour-Stochastic-Gradient-Langevin-Dynamics PublicAn elegant adaptive importance sampling algorithms for simulations of multi-modal distributions (NeurIPS'20)
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Variational_Schrodinger_Diffusion_Model
Variational_Schrodinger_Diffusion_Model PublicA multi-variate transport-optimized diffusion models accelerated by simulation-free properties (ICML'24)
Jupyter Notebook 8
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blackjax-devs/blackjax
blackjax-devs/blackjax PublicBlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
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Parallel-Solvers-for-Linear-System
Parallel-Solvers-for-Linear-System PublicParallel Solver for Large-Scale Sparse Matrix Computations (MPI)
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Sentiment-Analysis-in-Event-Driven-Stock-Price-Movement-Prediction
Sentiment-Analysis-in-Event-Driven-Stock-Price-Movement-Prediction PublicUse NLP to predict stock price movement associated with news
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