diff options
| author | Vishal Patil <vishpat@gmail.com> | 2024-04-03 01:16:32 -0400 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2024-04-03 07:16:32 +0200 |
| commit | 2be1a357102d8f64feb694720e5528d4974ca141 (patch) | |
| tree | a8288be351350244d108020f9234f574e821418b /README.md | |
| parent | 26226068a4912891f1d374b036aa2d1f6e5af4d2 (diff) | |
| download | candle-2be1a357102d8f64feb694720e5528d4974ca141.tar.gz candle-2be1a357102d8f64feb694720e5528d4974ca141.tar.bz2 candle-2be1a357102d8f64feb694720e5528d4974ca141.zip | |
Added link to the Coursera ML algorithm implementations (#1989)
* Added link to the coursera ML algo implementations
* Fixed link
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 1 |
1 files changed, 1 insertions, 0 deletions
@@ -176,6 +176,7 @@ And then head over to - [`candle-vllm`](https://github.com/EricLBuehler/candle-vllm): Efficient platform for inference and serving local LLMs including an OpenAI compatible API server. - [`candle-ext`](https://github.com/mokeyish/candle-ext): An extension library to Candle that provides PyTorch functions not currently available in Candle. +- [`candle-coursera-ml`](https://github.com/vishpat/candle-coursera-ml): Implementation of ML algorithms from Coursera's [Machine Learning Specialization](https://www.coursera.org/specializations/machine-learning-introduction) course. - [`kalosm`](https://github.com/floneum/floneum/tree/master/interfaces/kalosm): A multi-modal meta-framework in Rust for interfacing with local pre-trained models with support for controlled generation, custom samplers, in-memory vector databases, audio transcription, and more. - [`candle-sampling`](https://github.com/EricLBuehler/candle-sampling): Sampling techniques for Candle. - [`gpt-from-scratch-rs`](https://github.com/jeroenvlek/gpt-from-scratch-rs): A port of Andrej Karpathy's _Let's build GPT_ tutorial on YouTube showcasing the Candle API on a toy problem. |