TS to JSDoc Conversion (github.com)

Screenshot of github.com: TS to JSDoc Conversion

First screen, captured 3 years ago.

Looks similar

Screenshot of github.com: Svelte: $derived can now be overwritten

Svelte: $derived can now be overwritten (github.com)

45 points by jedeusus 1 year ago | 35 comments

Screenshot of github.com: AI has a deep understanding of how this code works

AI has a deep understanding of how this code works (github.com)

212 points by theresistor 11 months ago | 93 comments

Screenshot of github.com: ONNX Runtime merges WebGPU backend

ONNX Runtime merges WebGPU backend (github.com)

165 points by b_mc2 3 years ago | 30 comments

Screenshot of github.com: New exponent functions that make SiLU and SoftMax 2x faster, at full accuracy

New exponent functions that make SiLU and SoftMax 2x faster, at full accuracy (github.com)

368 points by weinzierl 2 years ago | 72 comments

GitHub pull request to llama.cpp by jart that upstreams llamafile's vectorized expf() functions to compute SiLU and softmax faster and more accurately on CPU.

llama-cpp ggml simd softmax

Screenshot of github.com: NIR: Nim Intermediate Representation

NIR: Nim Intermediate Representation (github.com)

173 points by michaelsbradley 3 years ago | 63 comments

Screenshot of github.com: Nitter is working again

Nitter is working again (github.com)

356 points by linusg789 3 years ago | 77 comments

GitHub pull request #927 "Fix everything" in the Nitter repo, merged to restore functionality using a new bearer token and updated Twitter endpoints.

nitter twitter twitter-api privacy

Looks similar

Svelte: $derived can now be overwritten(github.com)

AI has a deep understanding of how this code works(github.com)

ONNX Runtime merges WebGPU backend(github.com)

New exponent functions that make SiLU and SoftMax 2x faster, at full accuracy(github.com)

NIR: Nim Intermediate Representation(github.com)

Nitter is working again(github.com)