diff --git a/README.md b/README.md index 3456c051a6..cc4487935b 100644 --- a/README.md +++ b/README.md @@ -1,19 +1,19 @@
-[![logo](https://raw.githubusercontent.com/geohot/tinygrad/master/docs/logo.png)](https://tinygrad.org) +[![logo](https://raw.githubusercontent.com/tinygrad/tinygrad/master/docs/logo.png)](https://tinygrad.org) tinygrad: For something between [PyTorch](https://github.com/pytorch/pytorch) and [karpathy/micrograd](https://github.com/karpathy/micrograd). Maintained by [tiny corp](https://tinygrad.org).

-[Homepage](https://github.com/geohot/tinygrad) | [Documentation](/docs) | [Examples](/examples) | [Showcase](/docs/showcase.md) | [Discord](https://discord.gg/ZjZadyC7PK) +[Homepage](https://github.com/tinygrad/tinygrad) | [Documentation](/docs) | [Examples](/examples) | [Showcase](/docs/showcase.md) | [Discord](https://discord.gg/ZjZadyC7PK)

-[![GitHub Repo stars](https://img.shields.io/github/stars/geohot/tinygrad)](https://github.com/geohot/tinygrad/stargazers) -[![Unit Tests](https://github.com/geohot/tinygrad/actions/workflows/test.yml/badge.svg)](https://github.com/geohot/tinygrad/actions/workflows/test.yml) +[![GitHub Repo stars](https://img.shields.io/github/stars/tinygrad/tinygrad)](https://github.com/tinygrad/tinygrad/stargazers) +[![Unit Tests](https://github.com/tinygrad/tinygrad/actions/workflows/test.yml/badge.svg)](https://github.com/tinygrad/tinygrad/actions/workflows/test.yml) [![Discord](https://img.shields.io/discord/1068976834382925865)](https://discord.gg/ZjZadyC7PK) -[![Lines of code](https://img.shields.io/tokei/lines/github/geohot/tinygrad)](https://github.com/geohot/tinygrad) +[![Lines of code](https://img.shields.io/tokei/lines/github/tinygrad/tinygrad)](https://github.com/tinygrad/tinygrad)
@@ -98,7 +98,7 @@ The current recommended way to install tinygrad is from source. ### From source ```sh -git clone https://github.com/geohot/tinygrad.git +git clone https://github.com/tinygrad/tinygrad.git cd tinygrad python3 -m pip install -e . ``` @@ -139,9 +139,9 @@ print(y.grad.numpy()) # dz/dy There has been a lot of interest in tinygrad lately. Here are some basic guidelines for contributing: -- Bug fixes are the best and always welcome! Like [this one](https://github.com/geohot/tinygrad/pull/421/files). +- Bug fixes are the best and always welcome! Like [this one](https://github.com/tinygrad/tinygrad/pull/421/files). - If you don't understand the code you are changing, don't change it! -- All code golf PRs will be closed, but [conceptual cleanups](https://github.com/geohot/tinygrad/pull/372/files) are great. +- All code golf PRs will be closed, but [conceptual cleanups](https://github.com/tinygrad/tinygrad/pull/372/files) are great. - Features are welcome. Though if you are adding a feature, you need to include tests. - Improving test coverage is great, with reliable non-brittle tests. diff --git a/examples/efficientnet.py b/examples/efficientnet.py index adb1af3294..412814c76d 100644 --- a/examples/efficientnet.py +++ b/examples/efficientnet.py @@ -65,7 +65,7 @@ if __name__ == "__main__": lbls = ast.literal_eval(lbls.decode('utf-8')) # load image and preprocess - url = sys.argv[1] if len(sys.argv) >= 2 else "https://raw.githubusercontent.com/geohot/tinygrad/master/docs/showcase/stable_diffusion_by_tinygrad.jpg" + url = sys.argv[1] if len(sys.argv) >= 2 else "https://raw.githubusercontent.com/tinygrad/tinygrad/master/docs/showcase/stable_diffusion_by_tinygrad.jpg" if url == 'webcam': cap = cv2.VideoCapture(0) cap.set(cv2.CAP_PROP_BUFFERSIZE, 1) diff --git a/examples/yolov8.py b/examples/yolov8.py index 8442a3553b..cad1338c5d 100644 --- a/examples/yolov8.py +++ b/examples/yolov8.py @@ -12,7 +12,7 @@ from tinygrad.state import safe_load, load_state_dict #Model architecture from https://github.com/ultralytics/ultralytics/issues/189 -#The upsampling class has been taken from this pull request https://github.com/geohot/tinygrad/pull/784 by dc-dc-dc. Now 2(?) models use upsampling. (retinet and this) +#The upsampling class has been taken from this pull request https://github.com/tinygrad/tinygrad/pull/784 by dc-dc-dc. Now 2(?) models use upsampling. (retinet and this) #Pre processing image functions. def compute_transform(image, new_shape=(640, 640), auto=False, scaleFill=False, scaleup=True, stride=32): @@ -232,7 +232,7 @@ def label_predictions(all_predictions): return dict(class_index_count) -#this is taken from https://github.com/geohot/tinygrad/pull/784/files by dc-dc-dc (Now 2 models use upsampling) +#this is taken from https://github.com/tinygrad/tinygrad/pull/784/files by dc-dc-dc (Now 2 models use upsampling) class Upsample: def __init__(self, scale_factor:int, mode: str = "nearest") -> None: assert mode == "nearest" # only mode supported for now