A boilerplate for Django web applications
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CVPR2023 - Activating More Pixels in Image Super-Resolution Transformer TPAMI - HAT: Hybrid Attention Transformer for Image Restoration
A new one shot face swap approach for image and video domains
- computer-vision
- deep-learning
- deepfake
- faceswap
Tensorflow implementation of contextualized word representations from bi-directional language models
Training and Detecting Objects with YOLO3
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
- diffusion-models
- docking
- binding
- computational-biology
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
- calibration
- decision-model
- jev
- jev-model
Ryu component-based software defined networking framework
A fork to add multimodal model training to open-r1
Inception is a physical memory manipulation and hacking tool exploiting PCI-based DMA. The tool can attack over FireWire, Thunderbolt, ExpressCard, PC Card and any other PCI/PCIe interfaces.
:blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.
- python
- dict
- dictionary
- keypath
Django Rest + Vue JS Template
The Python ensemble sampling toolkit for affine-invariant MCMC
- python
- mcmc
- mcmc-sampler
- probabilistic-data-analysis
CLI runbook for agent long run.
A Python stream processing engine modeled after Yahoo! Pipes
- stream-processing
- etl
- parallelism
- rss
robomimic: A Modular Framework for Robot Learning from Demonstration
Code for the paper: Detecting Photoshopped Faces by Scripting Photoshop
ExtractThinker is a Document Intelligence library for LLMs, offering ORM-style interaction for flexible and powerful document workflows.
The living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.
- agent-experience
- agent-learning
- agent-traces
- ai-agents
A backup-first Codex skill for keeping local Codex state fast, clean, and recoverable.
Official Implementation of 'Fast AutoAugment' in PyTorch.
- deep-learning
- convolutional-neural-networks
- pytorch
- augmentation
A python library and collection of notebooks for making art with machine learning.
:sunglasses: Curated list of awesome software for numerical analysis and scientific computing
- awesome
- awesome-list
- mathematics
- numerical-analysis
P4 language tutorials