Lists (12)
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⭐ Awesome Lists
Awesome Templates
Repos to be used as templates for experiments in research and/or production. Mostly Deep Learning & Data Science💞 CL, FT, DA, & FSL
Continual Learning, Fine-tuning, Domain Adaptation, & Few-Shot Learning related code.Data Engineering
Finally decided to dedicate a list to specifically Data Engineering-related repos. This includes Annotation, Management, Storage, Retrieval and more.🧰 Deep Learning Tool box
Collection of tools & frameworks for working efficiently & competitively in Deep Learning.Earth Observation/Geospatial
Previously "Computer Vision - Aerial Mapping"🥇 High Value Inspiration
Resources that provide high value for time invested for Catalyzing inspiration.NLP
Plant Phenotyping
🧠 Second Brain Resources
Tools for providing some structure to the ever accumulating snowball of knowledge gained over time.Social Research
Tools for working with sociological and historical data⏳ Time-Series Related
Code for analyzing anything that varies over time.- All languages
- ASP.NET
- AppleScript
- Arduino
- Assembly
- Astro
- AutoHotkey
- Batchfile
- C
- C#
- C++
- CSS
- Clojure
- CoffeeScript
- Crystal
- Cuda
- Cython
- Dart
- Dockerfile
- Eagle
- Elixir
- Elm
- Emacs Lisp
- Fortran
- GAMS
- GDScript
- GLSL
- Gherkin
- Go
- HCL
- HTML
- Hack
- Haskell
- Java
- JavaScript
- Jinja
- Jupyter Notebook
- Kotlin
- Less
- LilyPond
- Lua
- MATLAB
- MDX
- Makefile
- Markdown
- Mathematica
- Max
- Nextflow
- Nix
- Nunjucks
- OCaml
- PHP
- Perl
- PostScript
- PowerShell
- Processing
- Pure Data
- Python
- R
- Rich Text Format
- Ruby
- Rust
- SCSS
- Scala
- Shell
- Svelte
- Swift
- TeX
- TypeScript
- Vim Script
- Vue
- Zig
Starred repositories
WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].
Danfeng Hong, JIngliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu. Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model…
Code for CVPR 2019 paper "Deep Metric Learning to Rank"
Python code of Hilbert-Schmidt Independence Criterion
Unsupervised Domain Adaptation via Structured Prediction Based Selective Pseudo-Labeling
a fast and automatic segmentation pipeline for point cloud of maize shoots
This is the code for the paper nemed 'Anomaly Detection for Hyperspectral Imagery Based on the Regularized Subspace Method and Collaborative Representation'
The program of a reliable and adaptive spatiotemporal data fusion method (RASDF)