h-former VS GradCache

Compare h-former vs GradCache and see what are their differences.

h-former

H-Former is a VAE for generating in-between fonts (or combining fonts). Its encoder uses a Point net and transformer to compute a code vector of glyph. Its decoder is composed of multiple independent decoders which act on a code vector to reconstruct a point cloud representing a glpyh. (by mzguntalan)

GradCache

Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint (by luyug)
Our great sponsors
  • WorkOS - The modern identity platform for B2B SaaS
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • SaaSHub - Software Alternatives and Reviews
h-former GradCache
3 1
5 305
- -
0.0 4.5
almost 2 years ago about 1 month ago
Python Python
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

h-former

Posts with mentions or reviews of h-former. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-29.

GradCache

Posts with mentions or reviews of GradCache. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing h-former and GradCache you can also consider the following projects:

pointnet - PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

jax-models - Unofficial JAX implementations of deep learning research papers

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

EasyLM - Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

long-range-arena - Long Range Arena for Benchmarking Efficient Transformers

fortuna - A Library for Uncertainty Quantification.

flaxmodels - Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.