UCL-Machine-Learning-MSc

KO | EN

gitlite — search

#javascript #hacktoberfest #react #ai #typescript #golang #linux #docker #java #awesome #kubernetes #vue #security #mcp

UCL-Machine-Learning-MSc

(★ 10)

This is an archive of lectures, resources, and coursework from my time at UCL.

UCL-Machine-Learning-MSc 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# UCL Machine Learning MSc
This is an archive of lectures, resources, and coursework from my time at UCL.

## Who are you and what are you looking for?

### Student
If you're a current or prospective UCL student, this should cover a large fraction of the content:
* [Probabilistic and Unsupervised Learning](https://github.com/victorfiz/ucl_ml/blob/main/unsupervised_learning/Probabilistic%20and%20Unsupervised%20Learning.pdf)
* [Approximate Inference](https://github.com/victorfiz/ucl_ml/blob/main/approximate_inference/Approximate_Inference.pdf)
* [Advanced](https://github.com/victorfiz/ucl_ml/blob/main/advanced_topics/kernels.pdf) [Topics in Machine Learning](https://github.com/victorfiz/ucl_ml/blob/main/advanced_topics/convex-optimisation.pdf)
* [Supervised Learning](https://github.com/victorfiz/ucl_ml/blob/main/supervised_learning/Supervised_Learning_Cheat_Sheet.pdf)
* [Bayesian Deep Learning](https://github.com/victorfiz/ucl_ml/tree/main/bayesian_deep_learning/Bayesian%20Deep%20Learning)
* [Reinforcement Learning](https://github.com/victorfiz/ucl_ml/tree/main/reinforcement_learning)
* [ML Seminar: GPs, Belief Prop, Norm Flows, Meta Learning](https://github.com/victorfiz/ucl_ml/blob/main/ml-seminar/machine-learning-seminar.pdf)
* [Open Endedness and General Intelligence]
* [Applied Deep Learning]
* [Statistical Natural Language Processing]

### ML Resource Scavenger
These stand out as being high-value materials, mostly unrelated to the course:
* [Reinforcement Learning](https://github.com/victorfiz/ucl_ml/blob/main/reinforcement_learning/Learning_Guide_RL.pdf): a guide by Nishant Aklecha
* [LLM Visualisation](https://bbycroft.net/llm)
* [Chip Huyen Blog](https://huyenchip.com/blog/)
* [Lil'Log Blog](https://lilianweng.github.io/)
* [All of Deep Learning in 1 hour](https://www.youtube.com/watch?v=dQw4w9WgXcQ)
* [Simons Institute](https://www.youtube.com/@SimonsInstituteTOC/streams)
* [Phil Wang Github – Architecture Implementations](https://github.com/lucidrains)
* [Gabriel Mongaras](https://www.youtube.com/@gabrielmongaras/videos)
* [Information Theory, Inference, and Learning Algorithms – David MacKay](https://www.inference.org.uk/itprnn/book.pdf)
* [GPU Programming](https://www.youtube.com/@szymonozog7862/videos)

### Serious Stuff

* [Supervised Learning](https://github.com/victorfiz/ucl_ml/blob/main/supervised_learning/CW2_COMP0078/Supervised_Learning_CW2.pdf)
* [Probabilistic and Unsupervised Learning](https://github.com/victorfiz/ucl_ml/blob/main/unsupervised_learning/CW1_COMP0086/Unsupervised_learning_CW1.pdf)
* [Knowledge Distillation for Efficient Training of Quantized LLMs](https://github.com/victorfiz/UCL-Machine-Learning-MSc/blob/main/statistical_NLP/Knowledge%20Distillation%20for%20Efficient%20Training%20of%20Quantized%20LLMs.pdf)
* [wiki-BALROG: Enhancing Language Model Agents Through Retrieval-Augmented Game Knowledge](https://github.com/victorfiz/UCL-Machine-Learning-MSc/blob/main/open-endedness_general_intelligence/wiki-BALROG.pdf)

UCL-Machine-Learning-MSc

UCL-Machine-Learning-MSc 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

UCL-Machine-Learning-MSc

UCL-Machine-Learning-MSc 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README