Daniel Han
@danielhanchenUnsloth - Making Fine-tuning and Reinforcement Learning LLMs more accessible!
Language Breakdown
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I-Shaped Developer
I-shapedSpecialist — deep expertise in HTML
Collaboration Network
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Repos
72
PRs
0
Growth
+18%
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Coding Streak
Contribution activity over the past year
Lysandre Debut
@LysandreJik
ewre324
@ewre324
Arthur
@ArthurZucker
Andrej
@karpathy
Neal Fultz
@nfultz
Top Repositories
sciblox - Easier Data Science and Machine Learning
Material for gpu-mode lectures
Tool for generating high quality Synthetic datasets
Inference, Fine Tuning and many more recipes with Gemma family of models
A high-throughput and memory-efficient inference and serving engine for LLMs
Sometimes we want to ”reverse” a Markov Chain process. Taking the inverse of the transition matrix allows this to work, but the inverse result is not a transition matrix. If I wanted to model a population going to work, and then going back home, negative and greater than 1 probabilities in the inverse matrix will cause issues. I propose a method to compute the ”inverse” of a transition matrix, and the result is still a transition matrix
Clean, accessible reproduction of DeepSeek R1-Zero
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
Created a Machine Learning system to predict if someone is going to suicide, and proposed some mechanisms to counter and help potential victims.
We developed a data mining solution to scrape data from multiple sources to get the latest and greatest information about health grants. AND - we designed a cool Jupyter Notebook Solution to visualise our 2nd challenge- to get data constantly from a source, and show it in Plotly
Open Source Impact
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