DeepSeek-Coder

DeepSeek Coder is composed of a series of code language models, each trained from scratch on 2T tokens, with a composition of 87% code and 13% natural language in both English and Chinese. We provide various sizes of the code model, ranging from 1B to 33B versions. Each model is pre-trained on project-level code corpus by employing a window size of 16K and an extra fill-in-the-blank task, to support project-level code completion and infilling. For coding capabilities, DeepSeek Coder achieves state-of-the-art performance among open-source code models on multiple programming languages and various benchmarks.

Creator: Deepseek-AI
Stars ⭐️: 15.6k
Forked by: 1.5k

Github Repo:
https://github.com/deepseek-ai/DeepSeek-Coder

@Machine_learn

Full PyTorch Implementation of
Compressive Transformer

📚 Link


@Machine_learn

Probability Cheatsheet
@Machine_learn

Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs

🖥 Github: https://github.com/reml-group/deliberation-on-priors

📕 Paper: https://arxiv.org/abs/2505.15210v1

@Machine_learn

Reinforcement Learning: An Overview

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The 2025 AI Index Report

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@Machine_learn

🎓Advanced Applications of Machine Learning in Bioinformatics



🗓Publish year: 2025

📎 Study thesis


@Machine_learn

Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning

24 Apr 2025 · Minju Seo, Jinheon Baek, Seongyun Lee, Sung Ju Hwang ·



Paper: https://arxiv.org/pdf/2504.17192v2.pdf

Code: https://github.com/going-doer/paper2code

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THE WAY OF CODE The Timeless Art of Vibe Coding

📚 link


@Machine_learn

EgoDex: Learning Dexterous Manipulation from Large-Scale Egocentric Video

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@Machine_learn

TabSTAR: A Foundation Tabular Model With
Semantically Target-Aware Representations

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System Card: Claude Opus 4 & Claude Sonnet 4

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@Machine_learn

MuLoCo: Muon is a practical inner optimizer for DiLoCo

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@Machine_learn

A Tutorial on Meta-Reinforcement
Learning

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COUNTING THE NUMBER OF Zp-AND Fp[t]-FIXED POINTS OF A DISCRETE DYNAMICAL
SYSTEM WITH APPLICATIONS FROM ARITHMETIC STATISTICS

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Owen 3 release

📖 Blog


@LLM_learning

Article Title:
Uncertainty Quantification for Language Models: A Suite of Black-Box, White-Box, LLM Judge, and Ensemble Scorers


PDF Download Link:
https://arxiv.org/pdf/2504.19254v2.pdf

GitHub:
• https://github.com/cvs-health/uqlm

Datasets:
• GSM8K
• SVAMP
• PopQA
@Machine_learn

Forecasting: Principles and Practice

📚 Book

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Good papers



Solving Video Inverse Problems Using Image Diffusion Models



Deep Random Features for Scalable Interpolation of Spatiotemporal Data



Century: A Framework and Dataset for Evaluating Ethical Contextualisation of Sensitive Images



No Training, No Problem: Rethinking Classifier-Free Guidance for Diffusion Models



Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance



How much is a noisy image worth? Data Scaling Laws for Ambient Diffusion


A Decade’s Battle on Dataset Bias: Are We There Yet?



HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models

@Machine_learn

Article Title:
s3: You Don't Need That Much Data to Train a Search Agent via RL





PDF Download Link:
https://arxiv.org/pdf/2505.14146v1.pdf

GitHub:
• https://github.com/pat-jj/s3

Datasets:
• Natural Questions
• TriviaQA
• HotpotQA
• MedQA
• PubMedQA
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