- All languages
- Batchfile
- C
- C#
- C++
- CMake
- CSS
- Clojure
- CoffeeScript
- Cuda
- Dart
- Dockerfile
- F#
- Go
- HTML
- Handlebars
- Haskell
- Java
- JavaScript
- Julia
- Jupyter Notebook
- Kotlin
- Lua
- MATLAB
- Makefile
- Mako
- Markdown
- Mathematica
- Nix
- PHP
- Perl
- PowerShell
- PureBasic
- Python
- R
- Ruby
- Rust
- SCSS
- Scala
- Shell
- TeX
- TypeScript
- V
- VBA
- Vue
Starred repositories
CONditionals for Ordinal Regression and classification in tensorflow
Tensorflow Keras implementation of ordinal regression using consistent rank logits (CORAL) by Cao et al. (2019)
Tensorflow implementations of ordinal regression
Ordinal regression models in PyTorch
Caffe Loss Layer for Ordinal Regression with Multiple Output CNN for Age Estimation.
✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解
A visual introduction to probability and statistics.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Pulumi - Infrastructure as Code in any programming language 🚀
A Unified Python Library for Graph Prompting
QAmatch(qa_match)/文本匹配/文本分类/文本embedding/文本聚类/文本检索(bow/ifidf/ngramtf-df/bert/albert/bm25/…/nn/gbdt/xgb/kmeans/dscan/faiss/….)
🌟 Wiki of OI / ICPC for everyone. (某大型游戏线上攻略,内含炫酷算术魔法)
A JVM implementation of the Pair Adjacent Violators algorithm for isotonic regression
PyTorch implementation of the GradNorm
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
Python functions for popular relevance metrics (ndcg, err, etc)
Transformer-based Realtime User Action Model for Recommendation at Pinterest
Source code for Twitter's Recommendation Algorithm
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running mat…
⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing" (EMNLP 2020).
tensorflow version of bert-of-theseus
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production