Quick, visual, principled introduction to pytorch code through five colab notebooks.
☆490Jan 13, 2025Updated last year
Alternatives and similar repositories for how-to-read-pytorch
Users that are interested in how-to-read-pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Deploy fastai models with Docker☆19Sep 27, 2020Updated 6 years ago
- The NDIF server, which performs deep inference and serves nnsight requests remotely☆52Sep 15, 2026Updated last week
- Making Sense of CNNs: Interpreting Deep Representations & Their Invariances with Invertible Neural Networks☆59Dec 18, 2020Updated 5 years ago
- 🧶 Minimal PyTorch Soft Actor Critic (SAC) implementation☆39Feb 19, 2022Updated 4 years ago
- Learning to See by Looking at Noise☆115Nov 24, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- An efficient PyTorch library for deep generative modeling.☆909Oct 11, 2024Updated last year
- Code for: Transforming and Projecting Images into Class-conditional Generative Networks☆194Oct 10, 2023Updated 2 years ago
- ☆47Feb 12, 2021Updated 5 years ago
- Colab notebooks for d2l-book☆11Dec 5, 2019Updated 6 years ago
- Tutorial on Automated Machine Learning at KDD 2020☆55Sep 1, 2020Updated 6 years ago
- ☆45Nov 3, 2019Updated 6 years ago
- ☆15Jan 12, 2024Updated 2 years ago
- ☆258Feb 22, 2024Updated 2 years ago
- NIPS 2018 "Invertibility of Convolutional Generative Networks from Partial Measurements"☆20Mar 9, 2019Updated 7 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Rewriting a Deep Generative Model, ECCV 2020 (oral). Interactive tool to directly edit the rules of a GAN to synthesize scenes with obje…☆535Oct 29, 2023Updated 2 years ago
- ☆26Jan 28, 2025Updated last year
- Error State Kalman Filter All in One, from Theory to Practice.☆59Jan 7, 2021Updated 5 years ago
- (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …☆63Jun 12, 2020Updated 6 years ago
- ☆836Apr 10, 2025Updated last year
- Notebooks for NHW2017 tutorial "Programming in Python"☆34Sep 30, 2020Updated 5 years ago
- arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv☆7,058Mar 27, 2026Updated 6 months ago
- Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)☆9,605Aug 26, 2026Updated last month
- The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.☆12,647Updated this week
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Linear Algebra for Machine Learning Book Exercises☆13May 19, 2019Updated 7 years ago
- Bolei's archive on generative modeling☆157Mar 4, 2021Updated 5 years ago
- [CVPR 2021] VirTex: Learning Visual Representations from Textual Annotations☆563Aug 22, 2025Updated last year
- DrQ: Data regularized Q☆422Jan 13, 2023Updated 3 years ago
- Model interpretability and understanding for PyTorch☆5,706Updated this week
- Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)☆2,963May 19, 2023Updated 3 years ago
- Learning Spatial Common Sense with Geometry-Aware Recurrent Networks☆56Dec 16, 2019Updated 6 years ago
- A set of neural network modules, which are small fully connected layers operating in semantic concept space. These modules are configured…☆61Oct 12, 2021Updated 4 years ago
- Code for Learning to Learn Language from Narrated Video☆33Oct 3, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…☆82Jan 23, 2022Updated 4 years ago
- ☆4,756Dec 8, 2025Updated 9 months ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆24,054Sep 1, 2025Updated last year
- some tircks for PyTorch☆572Dec 10, 2019Updated 6 years ago
- A basic SLAM system that employs 2D and 3D LIDAR measurements☆74Sep 19, 2019Updated 7 years ago
- Deep Learning project template for PyTorch (multi-gpu training is supported)☆135Aug 16, 2023Updated 3 years ago
- The nnsight package enables interpreting and manipulating the internals of deep learned models.☆1,115Updated this week