Paper Reproduction
Implement key papers from scratch and validate results.
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After this skill you can…
- Re-implement a published architecture from the paper
- Track experiments with W&B or MLflow
- Document reproducibility gaps
Prerequisites
Watch (10 videos)
Making Science Reproducible - A Capstone Course
→ Apply reproducible research workflows→ Use Containers for Scientists to ensure reproducibility
Build SELF-DISCOVER from Scratch with LlamaIndex
→ Implement research papers with LlamaIndex→ Reproduce SELF-DISCOVER paper results
Diffusion models from scratch in PyTorch
→ Implement diffusion models in PyTorch→ Reproduce research papers on DDPM
OpenAI CLIP | Machine Learning Coding Series
→ Implement research paper code→ Understand CLIP model architecture
Building ToolLLM With LangGraph.js
→ Reproduce AI research papers→ Build ToolLLM with LangGraph.js→ Implement Anytool and ToolLLM techniques
Pytorch Transformers from Scratch (Attention is all you need)
→ Reproduce results from AI research papers→ Implement paper-based models using PyTorch
Node Classification on Knowledge Graphs using PyTorch Geometric
→ Reproduce the results of a research paper→ Implement a model from a paper using PyTorch
Customizing Stable Diffusion w/ Text Inversion #shorts #programming
→ Reproduce text inversion paper results→ Implement text inversion with HuggingFace
Day 1 - Replicating Meta's NLLB - SeamlessM4T paper (Pt. 1)
→ Replicate Meta's NLLB project→ Implement SeamlessM4T paper
Call for Reproducing Papers
→ Reproduce machine learning papers→ Validate research results
DeepCamp AI