Awesome List Updates on Apr 25, 2021
8 awesome lists updated today.
🏠 Home · 🔍 Search · 🔥 Feed · 📮 Subscribe · ❤️ Sponsor
1. Public Apis
Development
API: ExtendsClass JSON Storage
Description: A simple JSON store API
Auth: No
HTTPS: Yes
CORS: Yes
2. Awesome Computer Vision
Awesome Lists
3. Awesome D
Web Frameworks
- DSSG (⭐20) - A static site generator with a different approach.
4. Awesome Cl
CLOS extensions
- slot-extra-options (⭐9) - lets you build a metaclass which in turn lets you specify extra slot options in its classes. LGPL3.
Apps / Third-party APIs
- cl-coveralls (⭐31) - a helper library to post test coverage to Coveralls. See SBCL's code coverage tool. FreeBSD.
Date and time / Third-party APIs
- local-time-duration (⭐17) -
Duration processing library built on top of local-time. MIT.
- see this fork: humanize-duration (⭐9), that outputs only significant parts of a duration object. Has localization suport.
5. Awesome Tensorflow Lite
Books / Other
- 2021-12-01 AI and Machine Learning On-Device Development (early access) - By Laurence Moroney (@lmoroney).
- 2020-10-01 AI and Machine Learning for Coders - By Laurence Moroney (@lmoroney).
- 2020-04-06 Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter: Build scalable real-world projects to implement end-to-end neural networks on Android and iOS (GitHub (⭐47)) - By Anubhav Singh (@xprilion) and Rimjhim Bhadani (@Rimjhim28).
6. Awesome React Native
Libraries / Navigation Demos
- react-native-easy-app ★220 (⭐237) - React Native one-stop solution.
7. Awesome Github
Tips, tricks, tools, and add-ons for GitHub power users
- multi-gitter (⭐1k) - Update multiple repositories in bulk.
8. Awesome Ai in Finance
Others / Other Resource
- 🌟🌟🌟 Stock-Prediction-Models (⭐8.8k) - Stock-Prediction-Models, Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations.
- 🌟🌟 Financial Machine Learning (⭐8k) - A curated list of practical financial machine learning (FinML) tools and applications. This collection is primarily in Python.
- Prev: Apr 26, 2021
- Next: Apr 24, 2021