TinyML and Efficient Deep Learning Computing (efficientml.ai)

Screenshot of efficientml.ai: TinyML and Efficient Deep Learning Computing

First screen, captured 3 years ago.

Looks similar

Screenshot of fleuret.org: Deep Learning Course

Deep Learning Course (fleuret.org)

376 points by Tomte 2 years ago | 43 comments

François Fleuret's University of Geneva deep learning course page offering slides, recordings, and a virtual machine, with examples in PyTorch.

deep-learning pytorch university-of-geneva francois-fleuret

Screenshot of yutongbai.com: Sequential modeling enables scalable learning for large vision models

Sequential modeling enables scalable learning for large vision models (yutongbai.com)

126 points by og_kalu 2 years ago | 51 comments

Screenshot of diffusion.csail.mit.edu: MIT 6.S184: Introduction to Flow Matching and Diffusion Models

MIT 6.S184: Introduction to Flow Matching and Diffusion Models (diffusion.csail.mit.edu)

362 points by __rito__ 1 year ago | 21 comments

Course page for MIT 6.S184, an introduction to flow matching and diffusion models built from stochastic differential equations, with notes, lectures, and labs.

diffusion-models flow-matching generative-ai stochastic-differential-equations

Screenshot of lmsys.org: Deploying DeepSeek on 96 H100 GPUs

Deploying DeepSeek on 96 H100 GPUs (lmsys.org)

269 points by GabrielBianconi 1 year ago | 76 comments

Screenshot of llasatts.github.io: Llasa: Llama-Based Speech Synthesis

Llasa: Llama-Based Speech Synthesis (llasatts.github.io)

156 points by CalmStorm 1 year ago | 18 comments

Screenshot of stateofutopia.com: MicroLLM Lab – Try 7 tiny LLM's in the browser

MicroLLM Lab – Try 7 tiny LLM's in the browser (stateofutopia.com)

271 points by logicallee 27 days ago | 99 comments

MicroLLM Lab is a browser-based tool for running, chatting with, and benchmarking small quantized language models locally via WebGPU with no server.

small-language-models webgpu in-browser-inference quantization

Looks similar

Deep Learning Course(fleuret.org)

Sequential modeling enables scalable learning for large vision models(yutongbai.com)

MIT 6.S184: Introduction to Flow Matching and Diffusion Models(diffusion.csail.mit.edu)

Deploying DeepSeek on 96 H100 GPUs(lmsys.org)

Llasa: Llama-Based Speech Synthesis(llasatts.github.io)

MicroLLM Lab – Try 7 tiny LLM's in the browser(stateofutopia.com)