Indaba-pracs-2022 Alternatives
Similar projects and alternatives to indaba-pracs-2022
-
PyCBC-Tutorials
Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.
-
jaxrl
JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
bodywork-pymc3-project
Discontinued Serving Uncertainty with Bayesian inference, using PyMC3 with Bodywork
-
nn
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
indaba-pracs-2022 reviews and mentions
-
From Deep Learning Foundations to Stable Diffusion
This year's Deep Learning Indaba had a tutorial on diffusion models in Jax: https://github.com/deep-learning-indaba/indaba-pracs-2022/tr...
Stats
deep-learning-indaba/indaba-pracs-2022 is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of indaba-pracs-2022 is Jupyter Notebook.