PyTorch, Python utility functions, loaders, classes etc.
This md file is inspired from BAILOOL's repo.
connected-papers |
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arxiv-sanity | arxivist | nlp-playground |
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Deep Learning Monitor | Machine Learning Subreddit | Hacker News |
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Numba | Ray | PyTorch Lightning | Torch-fidelity | Kornia | JAX | SOLT: Data augmentation in PyTorch |
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Grant Sanderson | Professor Leonard | Prof Rob | Contemporary Calculus |
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Probability and Statistics
Visualizing Intro to Prob&Stats | Count Bayesie | Random Services |
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Topology and Manifolds
Introduction from Colah's Blog | BoundedRationality Blog on Manifolds | Allen Hatcher's Page | TOPOLOGY WITHOUT TEARS (Book) |
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Distill | Gradient | Colah? |
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inFERENCe | Off the Convex Path | explained.ai | Bounded Rationality |
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Agustinus Kristladi's Tech Blog | Henry Labs |
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Advanced ML | Dive into Deep Learning | Deep Learning Drizzle | Model Zoo |
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Courses
Probabilistic Graphical Models | Deep Generative Models (NYU) | Deep Generative Models (Stanford) | CS109 Harvard |
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Data Science Handbook | IIT-M DL | Google's Crash Course | CS228-Notes |
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OTML | Learning From Data |
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Theory of Deep Learning
Toward theoretical understanding of DL | Divergence Minimization | Knowledge Distillation | Triplet Loss | Optimal Transport | Kantorovich-Rubinstein Duality |
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Transfer Learning
CS231 | Medium |
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Variational Inference
Eric Jang | Edward | Lil'Log | Medium | Variational Lower Bound | Rui Shu |
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Semantic Segmentation
Jordan | Mwiti | PyTorch |
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Machine Translation
Sequence models | Speech and Language Processing | Attention and Memory |
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Reinforcement Learning
Reproducing a Deep Reinforcement Learning Paper |
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Generative Models
Notes on exploring StyleGAN v2 | GANs, Wasserstein GAN | GANILLA | BigGAN? |
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MGAN | Interpolation with Generative Models | Style Transfer Losses | Theory of Spectral Normalisation |
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Super-resolution
Image Superresolution |
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Few Shot Learning
Literature | Literature 2: Advances | Siamese Neural Networks (PyTorch) | Metric Learning |
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Project: Realistic Neural Talking Head Models |
Machine Vision
Probabilistic Robotics | SLAM Course | Project: 3D Face Reconstruction |
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Datasets
Hacks
Shell | SSH | Numpy <-> PyTorch |
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